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CN119986573B - Tornado detection and collaborative tracking method - Google Patents

Tornado detection and collaborative tracking method Download PDF

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Publication number
CN119986573B
CN119986573B CN202510472646.8A CN202510472646A CN119986573B CN 119986573 B CN119986573 B CN 119986573B CN 202510472646 A CN202510472646 A CN 202510472646A CN 119986573 B CN119986573 B CN 119986573B
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ultra
evaluation value
fine
value
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CN119986573A (en
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刘艳中
吕雪芹
敖振浪
黄辉
包晓军
雷卫延
王明辉
周嘉健
黄桂烨
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Guangdong Narui Radar Technology Co ltd
Guangdong Meteorological Data Center
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Guangdong Narui Radar Technology Co ltd
Guangdong Meteorological Data Center
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    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
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Abstract

The invention discloses a tornado detection cooperative tracking method, and relates to the technical field of electric digital data processing. The method for collaborative tracking of tornado detection comprises the following steps of ultra-fine radar site evaluation, high-speed search radar site evaluation, channel signal evaluation and drawing of a shielding area diagram. According to the invention, whether collaborative tracking adjustment is carried out is judged by the obtained ultra-fine radar site evaluation value, then high-speed search radar site evaluation is carried out based on the obtained high-speed search radar site related data, whether search accuracy adjustment is carried out is judged, then whether radar signal interference adjustment is carried out is judged according to the obtained channel signal evaluation value, finally a shielding area diagram is drawn based on the ultra-fine radar site related data, the high-speed search radar site related data and the channel signal related data, the effect of improving the accuracy of the tornado detection collaborative tracking data is achieved, and the problem that the tornado detection collaborative tracking data is inaccurate in the prior art is solved.

Description

Tornado detection cooperative tracking method
Technical Field
The invention relates to the technical field of electric digital data processing, in particular to a tornado detection cooperative tracking method.
Background
The multi-beam dual-polarized phased array radar can transmit and receive a plurality of beams and has dual-polarization capability, namely, can simultaneously receive echo signals of horizontal polarization and vertical polarization. By being able to transmit and receive multiple beams simultaneously, the radar can complete scanning of the target area in a shorter time. This means that the radar can capture its dynamic changes faster when strong convective weather such as tornadoes occurs, providing valuable time for early warning and tracking. The cooperative work of the multiple beams enables the radar to cover a wider geographic area, and reduces the detection blind area. This is particularly important for the detection of small scale, rapidly changing weather phenomena such as tornadoes, as even small spatial scales may contain important weather information. The multi-beam technology improves the scanning speed and coverage range of the radar, so that the detection of the tornado is more timely and accurate. The dual polarization technology is helpful for distinguishing different precipitation particle types, improving the accuracy of precipitation estimation, and providing assistance for the identification of strong convection weather such as tornados and the like.
The existing method mainly utilizes Doppler frequency shift phenomenon to calculate the speed and moving direction of tornado by transmitting microwave beams and receiving reflected microwave signals.
The important weather identification method and system based on the weather radar, for example, is disclosed in the patent bulletin with the bulletin number of CN116975716B, and comprises the steps of data acquisition, radar base data acquisition, important weather identification, important weather scanning, important weather identification, weather identification and weather type identification, wherein the important weather is identified by adopting a threshold value setting mode, the important weather is scanned by adopting RHI, narrow pulse and unconventional elevation angle scanning methods, and the weather identification is carried out on the basis of a product obtained by the important scanning.
The multi-band weather radar data fusion method disclosed in the patent of the invention with the publication number of CN117332365A comprises the steps of 1, establishing a raindrop spectrum distribution model with constraint, 2, establishing a multi-band weather radar data inversion model, 3, meteorological monitoring, 4, correcting radar parameters, 5, converting multi-band radar parameter data, namely, selecting a set conversion wave band, 5-2, determining raindrop spectrum parameters of the wave band to be converted, 5-3, converting, 6, lattice interpolation, 7, and fusing.
However, in the process of implementing the technical scheme of the embodiment of the application, the application discovers that the above technology has at least the following technical problems:
in the prior art, due to the blocking of high buildings and mountains, radar waves cannot effectively capture the core characteristics and dynamic changes of tornadoes, so that radar sites are difficult to arrange, and the problem of inaccurate tornadoes detection cooperative tracking data is caused.
Disclosure of Invention
The embodiment of the application solves the problem of inaccurate tornado detection cooperative tracking data in the prior art by providing the tornado detection cooperative tracking method, and realizes the improvement of the accuracy of the tornado detection cooperative tracking data.
The embodiment of the application provides a cyclone detection collaborative tracking method, which comprises the following steps of S1, performing hyperfine radar site evaluation based on acquired hyperfine radar site related data to obtain a hyperfine radar site evaluation value, judging whether to perform collaborative tracking adjustment based on the hyperfine radar site evaluation value, wherein the hyperfine radar site evaluation value is used for evaluating the accuracy of the hyperfine radar collaborative tracking cyclone, S2, performing high-speed search radar site evaluation based on acquired high-speed search radar site related data to obtain a high-speed search radar site evaluation value, judging whether to perform search accuracy adjustment based on the high-speed search radar site evaluation value, wherein the high-speed search radar site evaluation value is used for evaluating the accuracy of the cyclone, S3, performing radar receiving channel signal evaluation based on the hyperfine radar site evaluation value after the collaborative tracking adjustment and channel signal related data to obtain a channel signal evaluation value, judging whether to perform radar signal interference adjustment based on the channel signal evaluation value, and the channel signal radar is used for performing the search accuracy adjustment based on the high-speed search radar and the high-precision radar site related data, and drawing the high-speed radar related data of a high-attenuation area map.
Further, the ultra-fine radar site related data comprises obstacle height, obstacle distance, first target distance and target height, the high-speed search radar site related data comprises second target distance and scanning angular velocity, the channel signal related data comprises first signal frequency and second signal frequency, the first target distance represents the distance from the ultra-fine radar to a preset tornado monitoring point, the second target distance represents the distance from the high-speed search radar to the preset tornado monitoring point, the first signal frequency represents the signal frequency of the ultra-fine radar, and the second signal frequency represents the signal frequency of the high-speed search radar.
The ultra-fine radar site evaluation method comprises the specific processes of obtaining an ultra-fine radar site evaluation value based on obtained ultra-fine radar site related data, wherein an ultra-fine radar shielding angle coincidence value is obtained through calculation through obstacle height, obstacle distance and a reference ultra-fine radar detection first weight obtained from a database, an ultra-fine radar line-of-sight coincidence value is obtained through calculation through a first target distance, target height and a reference ultra-fine radar detection second weight obtained from the database, a radar shielding coincidence value is obtained through ratio operation of a preset radar shielding maximum value obtained from the database and an ultra-fine radar shielding angle coincidence value, a radar line-of-sight coincidence value is obtained through ratio operation of the ultra-fine radar line-of-sight coincidence value and a preset radar line-of-sight maximum value obtained from the database, and the ultra-fine radar site evaluation value is obtained through combination of the radar shielding coincidence value and the radar line-of-sight coincidence value.
The method comprises the specific steps of obtaining a radar pitch angle through calculation of target height and second target distance, obtaining a radar pitch coincidence value through ratio calculation of the initial radar pitch angle and a preset radar pitch maximum value obtained from a database, obtaining a scanning angular velocity coincidence value through ratio calculation of scanning angular velocity and a preset scanning angular velocity maximum value obtained from the database, and obtaining the radar station evaluation value through combination of the radar pitch coincidence value and the scanning angular velocity coincidence value.
The channel signal evaluation value is obtained through combining a hyperfine radar loss coincidence value and a high-speed search radar loss coincidence value, wherein the hyperfine radar loss coincidence value is represented by a result of performing ratio operation on an initial hyperfine radar loss value and a preset hyperfine radar loss maximum value obtained from a database, the initial hyperfine radar loss value is obtained by performing operation on a first signal frequency, a first target distance and a light speed obtained from the database, the high-speed search radar loss coincidence value is represented by a result of performing ratio operation on the initial high-speed search radar loss value and the preset high-speed search radar loss maximum value obtained from the database, and the initial high-speed search radar loss value is obtained by performing operation on a second signal frequency, a second target distance and the light speed obtained from the database.
Further, the specific process of judging whether to carry out cooperative tracking adjustment based on the ultra-fine radar site evaluation value comprises the following steps of A1 judging whether the ultra-fine radar site evaluation value meets a first condition, if the ultra-fine radar site evaluation value meets a first condition, not carrying out cooperative tracking adjustment, otherwise executing A2, carrying out pulse compression, if the monitored ultra-fine radar site evaluation value meets the first condition, stopping carrying out cooperative tracking adjustment, otherwise executing A3, carrying out phase code modulation, and if the monitored ultra-fine radar site evaluation value meets the first condition, stopping carrying out cooperative tracking adjustment, otherwise sending an alarm prompt, wherein the first condition indicates that the ultra-fine radar site evaluation value is not lower than a reference ultra-fine radar evaluation threshold value acquired from a database.
Further, the restriction expression of the ultra-fine radar site evaluation value is as follows:
;
In the formula, A hyperfine radar site evaluation value indicating that the hyperfine radar is at the r-th preset time point,R represents the number of the preset time points, m represents the total number of the preset time points,Indicating the coincidence value of the ultra-fine radar shielding angle corresponding to the r preset time point of the ultra-fine radar,Indicating the vision range coincidence value of the ultra-fine radar corresponding to the r preset time point,Represents a preset radar occlusion maximum value,Representing a preset radar apparent distance maximum value, e representing a natural constant.
Further, the specific process of judging whether to perform search accuracy adjustment based on the high-speed search radar site evaluation value comprises the following steps of B1 judging whether the high-speed search radar site evaluation value meets the second condition, not performing search accuracy adjustment when the high-speed search radar site evaluation value meets the second condition, otherwise executing the step of B2, sending a prompt to preset personnel to change the waveform of the high-speed search radar, stopping performing search accuracy adjustment when the monitored high-speed search radar site evaluation value meets the second condition, otherwise executing the step of B3, performing coherent detection, stopping performing search accuracy adjustment when the monitored high-speed search radar site evaluation value meets the second condition, otherwise sending an alarm prompt, wherein the second condition indicates that the high-speed search radar site evaluation value is not lower than a reference high-speed search radar threshold value acquired from a database.
Further, the specific process of judging whether to perform radar signal interference adjustment based on the channel signal evaluation value comprises the following steps of C1 judging whether the channel signal evaluation value meets a third condition, when the channel signal evaluation value meets the third condition, not performing radar signal interference adjustment, otherwise executing C2, sending a prompt to a preset person to perform radio frequency signal amplification, when the monitored channel signal evaluation value meets the third condition, stopping performing radar signal interference adjustment, otherwise executing C3, performing Doppler frequency shift compensation, when the monitored channel signal evaluation value meets the third condition, stopping performing radar signal interference adjustment, otherwise sending an alarm prompt, wherein the third condition indicates that the channel signal evaluation value is not higher than a reference signal interference threshold value obtained from a database.
The specific process of drawing the shielding area graph based on the ultra-fine radar site related data, the high-speed search radar site related data and the channel signal related data comprises the steps of analyzing site clearance environment, combining the ultra-fine radar site related data subjected to collaborative tracking adjustment, the high-speed search radar site related data subjected to search accuracy adjustment and the channel signal related data subjected to radar signal interference adjustment to draw the shielding area graph.
One or more technical solutions provided in the embodiments of the present application at least have the following technical effects or advantages:
1. Judging whether to carry out collaborative tracking adjustment or not through the obtained ultra-fine radar site evaluation value, then carrying out high-speed search radar site evaluation and judging whether to carry out search accuracy adjustment or not based on the obtained high-speed search radar site related data, then judging whether to carry out radar signal interference adjustment or not according to the obtained channel signal evaluation value, and finally drawing a shielding area diagram based on the ultra-fine radar site related data, the high-speed search radar site related data and the channel signal related data, thereby realizing dynamic adjustment of a radar monitoring site, further realizing improvement of accuracy of the tornado detection collaborative tracking data, and effectively solving the problem of inaccurate tornado detection collaborative tracking data in the prior art.
2. The ultra-fine radar site evaluation value is obtained by combining the radar shielding coincidence value and the radar apparent distance coincidence value, then the high-speed search radar site evaluation value is obtained by combining the radar pitching coincidence value and the scanning angular velocity coincidence value, and finally the channel signal evaluation value is obtained by combining the ultra-fine radar loss coincidence value and the high-speed search radar loss coincidence value, so that the accuracy of acquiring radar related data is improved, and the cooperative detection reliability of the radar is improved.
3. By judging whether the ultra-fine radar site evaluation value meets the first condition, when the ultra-fine radar site evaluation value meets the first condition, the ultra-fine radar site evaluation value does not carry out collaborative tracking adjustment, otherwise pulse compression and phase code modulation are carried out, so that the dynamic adjustment of the ultra-fine radar collaborative tracking tornado is realized, and the accuracy of the ultra-fine radar collaborative tracking tornado is further improved.
Drawings
Fig. 1 is a flowchart of a method for collaborative tracking of tornado detection according to an embodiment of the present application;
FIG. 2 is a general flow chart provided by an embodiment of the present application;
FIG. 3 is a graph showing the statistics of the variation of the scan angular velocity-scan angular velocity coincidence value according to the embodiment of the present application;
fig. 4 is a view of an occlusion area according to an embodiment of the present application, where the view (a) is a beam height view of 1 km and the view (b) is a beam height view of 3 km.
Detailed Description
According to the embodiment of the application, the problem of inaccurate tornado detection cooperative tracking data in the prior art is solved by providing the tornado detection cooperative tracking method, the superfine radar site evaluation is carried out on the obtained superfine radar site related data to obtain the superfine radar site evaluation value and judge whether the cooperative tracking adjustment is carried out, then the high-speed search radar site evaluation is carried out on the obtained high-speed search radar site related data to obtain the high-speed search radar site evaluation value and judge whether the search accuracy adjustment is carried out, then the radar receiving channel signal evaluation is carried out according to the superfine radar site evaluation value subjected to the cooperative tracking adjustment, the high-speed search radar site evaluation value subjected to the search accuracy adjustment and the channel signal related data to obtain the channel signal evaluation value, and finally whether the radar signal interference adjustment is carried out is judged, and finally an occlusion area diagram is drawn on the basis of the superfine radar site related data, the high-speed search radar site related data and the channel signal related data, so that the accuracy of the tornado detection cooperative tracking data is improved.
The technical scheme in the embodiment of the application aims to solve the problem of inaccurate data of the collaborative tracking of the tornado detection, and the general idea is as follows:
Judging whether to carry out collaborative tracking adjustment or not through the obtained ultra-fine radar site evaluation value, then carrying out high-speed search radar site evaluation and judging whether to carry out search accuracy adjustment or not based on the obtained high-speed search radar site related data, then judging whether to carry out radar signal interference adjustment or not according to the obtained channel signal evaluation value, and finally drawing a shielding area diagram based on the ultra-fine radar site related data, the high-speed search radar site related data and the channel signal related data, thereby achieving the effect of improving the accuracy of the tornado detection collaborative tracking data.
In order to better understand the above technical solutions, the following detailed description will refer to the accompanying drawings and specific embodiments.
S1, performing ultra-fine radar site evaluation based on acquired ultra-fine radar site related data to obtain an ultra-fine radar site evaluation value, judging whether to perform collaborative tracking adjustment based on the ultra-fine radar site evaluation value, wherein the ultra-fine radar site evaluation value is used for evaluating the accuracy of ultra-fine radar collaborative tracking tornado, and shielding adjustment is used for improving the accuracy of ultra-fine radar collaborative tracking; S2, evaluating a high-speed search radar site, namely evaluating the high-speed search radar site based on acquired high-speed search radar site related data to obtain a high-speed search radar site evaluation value, judging whether to perform search accuracy adjustment based on the high-speed search radar site evaluation value, wherein the high-speed search radar site evaluation value is used for evaluating the accuracy of a high-speed search radar for searching tornado, the search accuracy adjustment is used for improving the accuracy of the high-speed search radar, S3, evaluating a channel signal, namely performing radar receiving channel signal evaluation according to the ultra-fine radar site evaluation value subjected to collaborative tracking adjustment, the high-speed search radar site evaluation value subjected to search accuracy adjustment and the channel signal related data to obtain a channel signal evaluation value, judging whether to perform radar signal interference adjustment based on the channel signal evaluation value, wherein the channel signal evaluation value is used for evaluating the attenuation conditions of the ultra-fine radar and the high-speed search radar received signal strength, and the radar signal interference adjustment is used for improving the accuracy of the ultra-fine radar and the high-speed search radar received signal, and S4, drawing a shielding area diagram based on the ultra-fine radar site related data, and (5) high-speed searching radar site related data and channel signal related data, and drawing an occlusion region graph.
The ultra-fine radar site related data comprises an obstacle height, an obstacle distance, a first target distance and a target height, the high-speed search radar site related data comprises a second target distance and a scanning angular speed, the channel signal related data comprises a first signal frequency and a second signal frequency, the obstacle height represents the height of a preset obstacle detected by the ultra-fine radar, the obstacle distance represents the horizontal distance of the ultra-fine radar to the preset obstacle, the first target distance represents the distance of the ultra-fine radar to a preset tornado monitoring point, the target height represents the distance between the preset top center point of a preset target object (tornado) and a corresponding point on the vertical ground, the second target distance represents the distance from the high-speed search radar to the preset tornado monitoring point, the scanning angular speed represents the scanning angular speed of the high-speed search radar, the first signal frequency represents the signal frequency of the ultra-fine radar, and the second signal frequency represents the signal frequency of the high-speed search radar.
In this embodiment, the ultra-fine radar site evaluation value, the high-speed search radar site evaluation value and the channel signal evaluation value are mutually affected, the accuracy of the ultra-fine radar site and the high-speed search radar site directly affect the quality of the channel signal, the lower the ultra-fine radar site evaluation value is, the lower the tracking accuracy is, the cooperative tracking adjustment is required, the lower the high-speed search radar site evaluation value is, the lower the searching accuracy is, the searching accuracy is required to be adjusted, and the ultra-fine radar site evaluation value, the high-speed search radar site evaluation value and the channel signal evaluation value can mutually promote through mutual adjustment and optimization, so that the overall performance of detecting and tracking a preset target (tornado) is jointly promoted, and the improvement of the accuracy of the tornado detection cooperative tracking data is realized.
It should be explained that, at a preset time point, the obstacle height and the obstacle distance of the preset obstacle are obtained by scanning the preset obstacle through the ultra-fine radar, the preset target monitoring point is locked through the ultra-fine radar, the distance from the ultra-fine radar to the monitoring point is measured to obtain the first target distance, the preset center point of the preset target is locked through the ultra-fine radar or the high-speed search radar is used for locking the preset center point of the preset target, the distance from the point to the vertical ground is measured to obtain the target height, the preset target monitoring point is locked through the high-speed search radar, the distance from the high-speed search radar to the monitoring point is measured to obtain the second target distance, the scanning angular speed corresponding to the high-speed search radar is measured through the high-speed search radar, the first signal frequency is measured through the ultra-fine radar, and the second signal frequency is measured through the high-speed search radar.
Further, the specific process of obtaining the ultra-fine radar site evaluation value by performing ultra-fine radar site evaluation based on the obtained ultra-fine radar site related data is as follows, namely, obtaining the ultra-fine radar shielding angle coincidence value (namely, in the restriction expression of the ultra-fine radar site evaluation value) by calculating through the obstacle height, the obstacle distance and the reference ultra-fine radar detection first weight obtained from the databaseAnd (2) andNot 0), the ultra-fine radar occlusion angle coincidence value is used for reflecting the occlusion condition of a preset obstacle of the ultra-fine radar, the reference ultra-fine radar detection first weight is used for reflecting the influence degree of the radar occlusion angle on the ultra-fine radar occlusion angle coincidence value, the ultra-fine radar vision range coincidence value is obtained through calculation through the first target distance, the target height and the reference ultra-fine radar detection second weight obtained from a database (namely, in a limit expression of the ultra-fine radar site evaluation value) The ultra-fine radar site evaluation method comprises the steps of obtaining an ultra-fine radar site evaluation value by means of carrying out ratio operation on a preset radar shielding maximum value obtained from a database and an ultra-fine radar shielding angle coincidence value, obtaining a radar apparent distance coincidence value by means of carrying out ratio operation on the ultra-fine radar apparent distance coincidence value and a preset radar apparent distance maximum value obtained from the database, referring to the ultra-fine radar detection second weight to reflect the influence degree of the radar apparent distance on the ultra-fine radar apparent distance coincidence value, obtaining the radar shielding coincidence value by means of carrying out ratio operation on the preset radar shielding maximum value obtained from the database and the ultra-fine radar shielding angle coincidence value, obtaining the radar apparent distance coincidence value by means of carrying out ratio operation on the ultra-fine radar apparent distance coincidence value and the preset radar apparent distance maximum value obtained from the database, and obtaining the ultra-fine radar site evaluation value by means of combining the radar shielding coincidence value and the radar apparent distance coincidence value.
Wherein, the restriction expression of the ultra-fine radar site evaluation value is as follows:
;
;
;
In the formula, A hyperfine radar site evaluation value indicating that the hyperfine radar is at the r-th preset time point,R represents the number of the preset time points, m represents the total number of the preset time points,Indicating the coincidence value of the ultra-fine radar shielding angle corresponding to the r preset time point of the ultra-fine radar,Indicating the vision range coincidence value of the ultra-fine radar corresponding to the r preset time point,Represents the obstacle height corresponding to the r preset time point of the ultra-fine radar,Represents the obstacle distance corresponding to the r preset time point of the ultra-fine radar,Indicating the target height of the preset target object corresponding to the r preset time point,Representing a first target distance corresponding to the ultra-fine radar at the r preset time point,Representing a reference ultra-fine radar detection first weight,Representing a reference ultra-fine radar detection of a second weight,Represents a preset radar occlusion maximum value,Representing a preset radar apparent distance maximum value, e representing a natural constant.
In this embodiment, the foregoing database is a database established before the design of the tornado detection collaborative tracking method provided by the embodiment of the present application and used for storing various setting data, where the database includes, but is not limited to, signal frequency, target distance, obstacle height, etc., and various values are set directly by a technician, for example, the preset radar shielding maximum value is represented by a maximum value of a ultra-fine radar shielding angle coincidence value in a historical time period in the database, and the preset radar line-of-sight maximum value is represented by a maximum value of an ultra-fine radar line-of-sight coincidence value in the historical time period in the database.
Specifically, the first weight of reference ultra-fine radar detection and the second weight of reference ultra-fine radar detection respectively reflect the influence degree of the shielding angle of the ultra-fine radar on the ultra-fine radar shielding angle coincidence value and the influence degree of the sight distance on the ultra-fine radar sight distance coincidence value, a mapping set of the shielding angle and the sight distance of the ultra-fine radar and the corresponding weights is preset in a database, the mapping set reflects the mapping relation between the shielding angle and the sight distance of the ultra-fine radar and the corresponding weights, for example, the mapping set is formed by the shielding angle and the sight distance of the ultra-fine radar and the weights of the shielding angle and the sight distance of the ultra-fine radar preset in the database, the real-time shielding angle and the sight distance of the ultra-fine radar are input into the mapping set to obtain the corresponding weights of the shielding angle and the sight distance of the ultra-fine radar, wherein the mapping relation can be one-to-one or a plurality of the mapping relation, and the value range is 0-1 in the embodiment.
It should be understood that, in the algorithm of this embodiment, the ultra-fine radar site evaluation value is obtained by combining with the ultra-fine radar site related data analysis, and the ultra-fine radar site related data in the algorithm of this embodiment does not exist independently, and has correlation. The obstacle height and the obstacle distance may affect the detection range and accuracy of the ultra-fine radar together, and an increase in the obstacle height, the target height and the first target distance may not necessarily result in an increase in the evaluation value of the ultra-fine radar site, and the influence of the obstacle distance should be comprehensively considered, and when the obstacle height and the obstacle distance are increased simultaneously, the greater the interference of the obstacle to the ultra-fine radar detection may be, the significantly reduced ultra-fine radar detection performance may be caused, and when the obstacle height is higher than the target height, the ultra-fine radar may not accurately measure the target height because the obstacle may block or interfere with the reception of the radar beam. The detection performance of the ultra-fine radar may be greatly affected, so that the evaluation value of the ultra-fine radar station is reduced, the closer an obstacle is to the ultra-fine radar, the more radar beams may be blocked, the ultra-fine radar cannot accurately measure the first target distance, and as the first target distance is increased, the radar beams may be affected by more refraction and diffraction in the propagation process. This may lead to a larger deviation between the target position detected by the radar and the actual position, and thus to a reduced evaluation value of the ultra-fine radar site, where the parameters of the algorithm of this embodiment need to be considered together to influence the result. The accuracy of the ultra-fine radar collaborative tracking tornado is evaluated, and the accuracy of the tornado detection collaborative tracking data is improved.
Further, the method for obtaining the high-speed search radar site evaluation value based on the obtained high-speed search radar site related data comprises the specific steps of obtaining an initial radar pitch angle through calculation of a target height and a second target distance (the second target distance is not 0), enabling the initial radar pitch angle to reflect the coverage condition of the high-speed search radar, obtaining a radar pitch coincidence value through ratio calculation of the initial radar pitch angle and a preset radar pitch maximum value obtained from a database (namely, obtaining the radar pitch coincidence value in a limit expression of the high-speed search radar site evaluation value)) The radar pitch coincidence value is used for reflecting the coincidence condition of the pitch angle of the high-speed search radar, and the scanning angular velocity coincidence value (namely, the scanning angular velocity coincidence value is obtained by carrying out ratio operation on the scanning angular velocity and the maximum value of the preset scanning angular velocity obtained from a database) The scan angular velocity coincidence value is used for reflecting coincidence condition of pitch angle change rate of the high-speed search radar, and the radar pitch coincidence value and the scan angular velocity coincidence value are combined to obtain the high-speed search radar station evaluation value.
The high-speed search radar site evaluation value is obtained by the following method:
;
;
;
In the formula, A high-speed search radar site evaluation value indicating that the high-speed search radar is at the r-th preset time point,R represents the number of the preset time points, m represents the total number of the preset time points,Indicating the radar pitch coincidence value corresponding to the r preset time point of the high-speed search radar,Indicating the scan angular velocity coincidence value corresponding to the r preset time point of the high-speed search radar,Indicating the target height of the preset target object corresponding to the r preset time point,Representing a second target distance corresponding to the r preset time point of the high-speed search radar,Represents the scanning angular velocity corresponding to the r preset time point of the high-speed search radar,Representing a preset radar pitch maximum value,Representing a preset maximum value of the scanning angular velocity, e representing a natural constant.
In this embodiment, the preset radar pitch maximum value is represented by searching for the maximum value of the radar pitch angle at high speed in the historical period in the database, and the preset scanning angular velocity maximum value is represented by searching for the maximum value of the radar scanning angular velocity at high speed in the historical period in the database.
It should be understood that, in the algorithm of this embodiment, the high-speed search radar site evaluation value is obtained by combining the analysis of the high-speed search radar site related data, and the high-speed search radar site related data in the algorithm of this embodiment does not exist independently, and has a correlation therebetween. The increase in the target height and the scanning angular velocity does not necessarily lead to an increase in the evaluation value of the high-speed search radar site, and the influence of the second target distance should be comprehensively considered, and when the second target distance increases, the detection range of the high-speed search radar increases accordingly, but this may also lead to a decrease in the resolution of the high-speed search radar. To maintain a certain resolution, a high-speed search radar may need to increase the scanning angular velocity in order to cover a larger area in a shorter time. However, as the angular velocity of the scan increases, the dwell time of the high-speed search radar on each target will be shortened, which may result in insufficient accumulation of target echo signals, thereby affecting the accuracy of detection, and when the high-speed search radar is weaker, these signals may not be effectively detected if they are insufficient to accumulate target echo signals, which may result in a decrease in the detection capability of the radar on distant or low-reflectivity targets, which will directly affect the accuracy of detection, because weaker signals may not be effectively detected, and the influence on the result needs to be considered together between the parameters of the algorithm of the embodiment.
In particular, assume a scan angular velocityRanging from 50 to 100 (radians/second), a preset maximum scan angular velocityAs shown in fig. 3, the variation statistics chart of the scan angular velocity-scan angular velocity coincidence value provided by the embodiment of the application is shown in fig. 3, and as the scan angular velocity increases gradually, the scan angular velocity coincidence value increases gradually, which means that the coincidence condition of the pitch angle variation rate of the high-speed search radar increases gradually, thereby realizing the accurate quantification of the accuracy of evaluating the high-speed search radar to search for tornados, and further realizing the improvement of the accuracy of the tornado detection collaborative tracking data.
Further, the specific process of obtaining the channel signal evaluation value by radar reception channel signal evaluation based on the ultra-fine radar site evaluation value after the collaborative tracking adjustment, the high-speed search radar site evaluation value after the search accuracy adjustment, and the channel signal related data is as follows, combining the ultra-fine radar loss coincidence value (i.e., in the constraint expression of the channel signal evaluation value)) And searching for radar loss compliance values at high speed (i.e., in a restricted expression of the channel signal evaluation value) The method comprises the steps of obtaining a channel signal evaluation value, representing a hyperfine radar loss coincidence value by a result of carrying out ratio operation on an initial hyperfine radar loss value and a preset hyperfine radar loss maximum value obtained from a database, wherein the hyperfine radar loss coincidence value is used for reflecting the coincidence condition of hyperfine radar signal loss, carrying out operation on the initial hyperfine radar loss value by a first signal frequency, a first target distance and a light speed obtained from the database, representing a result of carrying out ratio operation on a high-speed search radar loss coincidence value by the initial high-speed search radar loss value and the preset high-speed search radar loss maximum value obtained from the database, carrying out operation on the high-speed search radar loss coincidence value by a second signal frequency, a second target distance and the light speed obtained from the database, and carrying out operation on the initial high-speed search radar loss value by the second signal frequency, the second target distance and the light speed obtained from the database.
Wherein, the channel signal evaluation value is obtained by the following method:
;
;
;
In the formula, A channel signal evaluation value at the r-th preset time point is represented,R represents the number of the preset time points, m represents the total number of the preset time points,Indicating the ultra-fine radar loss compliance value at the r-th preset time point,Indicating a high-speed search radar loss compliance value at the r-th preset point in time,Representing the first signal frequency corresponding to the r preset time point of the ultra-fine radar,Indicating the first target distance corresponding to the ultra-fine radar after the collaborative tracking adjustment at the r preset time point,Representing a second signal frequency corresponding to the r preset time point of the high-speed search radar,Indicating the second target distance corresponding to the r preset time point of the high-speed search radar after the search accuracy is adjusted,Representing a preset ultra-fine radar loss maximum,Representing a preset high-speed search radar loss maximum, c represents the speed of light and e represents a natural constant.
In this embodiment, the preset hyperfine radar loss maximum value is represented by the maximum value of the hyperfine radar loss in the historical period in the database, the preset high-speed search radar loss maximum value is represented by the maximum value of the high-speed search radar loss in the historical period in the database, and c represents the speed of light, which is taken in this embodiment(m/s)。
It should be understood that, in the algorithm of this embodiment, the channel signal evaluation value is obtained by analyzing the channel signal related data, and the channel signal related data in the algorithm of this embodiment does not exist independently, and has correlation therebetween. The increase of the first signal frequency and the second signal frequency does not necessarily lead to the increase of the channel signal evaluation value, and the influence of the second target distance and the first target distance should be comprehensively considered, the higher the first signal frequency and the second signal frequency, the more distant the first target distance and the second target distance are possible, the higher the frequency of the radar signal is, the shorter the wavelength is, the more concentrated the energy is, but the first signal frequency and the second signal frequency cannot be infinitely increased, because the higher the signal frequency is, the higher the possibility of absorption and scattering occurs when the radar signal propagates in the air is, the more attenuation is experienced in the propagation process of the signal of the ultra-fine radar and the high-speed search radar along with the increase of the first target distance and the second target distance, so that the signal strength is weakened, and the influence on the result needs to be jointly considered among parameters of the algorithm in the embodiment.
In particular, suppose that ultra-fine radar loss meets the valueIn the range of 0.1-0.6, and searching for radar loss compliance values at high speedThe range of (2) is 0.1-0.6, and as shown in table 1, the variation statistics table of the channel signal evaluation value provided by the embodiment of the application is as follows:
Table 1 variation statistics table of channel signal evaluation values
As can be seen from the above table, the loss with ultra-fine radar meets the valueAnd high-speed search radar loss compliance valueThe channel signal evaluation value is gradually increased, which means that the attenuation condition of the receiving signals of the ultra-fine radar and the high-speed search radar is gradually aggravated, thereby realizing the accurate quantification of the accuracy of evaluating the high-speed search radar to search tornadoes and further realizing the improvement of the accuracy of the detection collaborative tracking data of the tornadoes.
Further, the specific process of judging whether to perform cooperative tracking adjustment based on the ultra-fine radar site evaluation value comprises the steps of A1 judging whether the ultra-fine radar site evaluation value meets a first condition, when the ultra-fine radar site evaluation value meets a first condition, not performing cooperative tracking adjustment, and executing A2, performing pulse compression, when the monitored ultra-fine radar site evaluation value meets a first condition, stopping performing cooperative tracking adjustment, otherwise executing A3, performing pulse compression to inhibit multipath effect by a pulse compression method, A3, performing phase code modulation, when the monitored ultra-fine radar site evaluation value meets a second condition, stopping performing cooperative tracking adjustment, otherwise, sending an alarm prompt, wherein the phase code modulation indicates that the distance resolution of the ultra-fine radar is improved by a phase code method, and the first condition indicates that the ultra-fine radar site evaluation value is not lower than a reference ultra-fine radar evaluation threshold value acquired from a database.
In this embodiment, the reference hyperfine radar evaluation threshold is represented by an average value of the hyperfine radar station evaluation values in the historical time period in the database, the distance resolution is improved by increasing the time-wide bandwidth product of the radar signal through a linear frequency modulation pulse compression method, so that the influence of multipath effect on the distance measurement precision is reduced, a wideband signal can be matched and filtered to form a narrowband signal through the pulse compression method, the resolution capability of the radar system is improved, and the phase code modulation is based on the phase modulation principle and carries more information through changing the phase of the signal. Phase-coded modulation can divide a wide pulse into many short sub-pulses and control the phase of these sub-pulses by coding. These encoded sub-pulses, when transmitted, form complex reflected signals at the target. After the reflected signals are received and processed by the radar receiver, the original phase information can be restored by a decoding technology, so that the distance resolution of the ultra-fine radar can be improved, and the accuracy of the tornado detection cooperative tracking data is improved.
Further, the specific process of judging whether to perform search accuracy adjustment based on the high-speed search radar site evaluation value is as follows, B1, judging whether the high-speed search radar site evaluation value meets a second condition, when the high-speed search radar site evaluation value meets the second condition, not performing search accuracy adjustment, otherwise executing B2, sending a prompt to a preset person to change the waveform of the high-speed search radar, when the monitored high-speed search radar site evaluation value meets the second condition, stopping performing search accuracy adjustment, otherwise executing B3, the waveform of the high-speed search radar comprises a linear frequency modulation signal, a phase coding signal and the like, B3, performing coherent detection, when the monitored high-speed search radar site evaluation value meets the second condition, stopping performing search accuracy adjustment, otherwise sending an alarm prompt, wherein the coherent detection indicates that the detection capability of the high-speed search radar signal is improved through a coherent detection method, and the second condition indicates that the high-speed search radar site evaluation value is not lower than a reference high-speed search radar threshold value acquired from a database.
In the present embodiment, the reference high-speed search radar threshold value is represented by an average value of evaluation values of a high-speed search radar station in a historical period in a database, and the phase-coded signal is a high-speed search radar waveform carrying information by changing the phase of the signal. The method generally divides a signal into a plurality of sub-pulses, encodes the phase of each sub-pulse to form a complex high-speed search radar signal, extracts information of a preset target (tornado) by coherent detection through comparing the coherence (such as phase difference, amplitude ratio and the like) between a received echo signal and a known transmitting signal, and realizes pulse compression of a linear frequency modulation signal at a receiving end through a matched filtering technology, thereby improving the signal-to-noise ratio and detection performance of the high-speed search radar signal and realizing the improvement of the accuracy of the tornado detection collaborative tracking data.
Further, the specific process of judging whether to perform radar signal interference adjustment based on the channel signal evaluation value comprises the following steps of C1 judging whether the channel signal evaluation value meets the third condition, when the channel signal evaluation value meets the third condition, not performing radar signal interference adjustment, otherwise executing C2, sending a prompt to a preset person to perform radio frequency signal amplification, when the monitored channel signal evaluation value meets the third condition, stopping performing radar signal interference adjustment, otherwise executing C3, radio frequency signal amplification indicates that the loss of signal reflection is reduced through a low noise amplifier, C3, performing Doppler frequency shift compensation, when the monitored channel signal evaluation value meets the third condition, stopping performing radar signal interference adjustment, otherwise sending an alarm prompt, and Doppler frequency shift compensation is used for enhancing the receiving sensitivity of a signal through Doppler effect and self-adaptive filtering, wherein the third condition indicates that the channel signal evaluation value is not higher than a reference signal interference threshold value obtained from a database.
In this embodiment, the reference signal interference threshold is represented by the average value of channel signal evaluation values in the historical time period in the database, the low noise amplifier has the characteristics of high gain and low noise coefficient, can amplify signals more effectively and reduce the interference of noise, the low noise amplifier can minimize the introduction of noise while amplifying signals, doppler shift compensation is used for correcting the frequency variation of signals caused by the doppler effect, adaptive filtering can dynamically adjust the parameters of the filter according to the characteristics of the input signals, further reduce the influence of noise and interference, enhance the receiving sensitivity of signals,
Further, the specific process of drawing the shielding area diagram based on the ultra-fine radar site related data, the high-speed search radar site related data and the channel signal related data comprises the steps of carrying out site clearance environment analysis, analyzing site clearance environment through GIS (Geographic Information System ) technology, combining the ultra-fine radar site related data subjected to collaborative tracking adjustment, the high-speed search radar site related data subjected to search accuracy adjustment and the channel signal related data subjected to radar signal interference adjustment, and drawing the shielding area diagram, wherein the shielding area diagram comprises a shielding angle diagram and an equal beam height diagram.
In this embodiment, as shown in fig. 4, a shielding area diagram provided by the embodiment of the present application is shown, where the diagram (a) is a beam height diagram of 1 km and the like, and the diagram (b) is a beam height diagram of 3 km and the like, and due to high buildings and mountain blocking, the key of radar layout is site selection layout. For example, a '4+1+1+n' layout of 'quadrilateral+center+movement+assistance', namely 4 refined radars at four corners, 1 full airspace high-speed search radar at the center, 1 mobile tracking radar, a plurality of micropressure meters, lookout cameras and other auxiliary equipment is adopted. The site clearance environment is analyzed by utilizing a GIS technology, the ultra-fine radar site related data after collaborative tracking adjustment, the high-speed search radar site related data after search accuracy adjustment and the channel signal related data after radar signal interference adjustment are combined, a shielding area is obtained through a digital elevation model, and an equal beam height map is drawn, so that the visual display of the detection capability of the radar in all directions is realized, and further, the improvement of the accuracy of the tornado detection collaborative tracking data is realized.
In summary, the embodiment of the application judges whether to perform collaborative tracking adjustment through the obtained ultra-fine radar site evaluation value, then performs high-speed search radar site evaluation based on the obtained high-speed search radar site related data and judges whether to perform search accuracy adjustment, then judges whether to perform radar signal interference adjustment according to the obtained channel signal evaluation value, and finally draws a shielding area diagram based on the ultra-fine radar site related data, the high-speed search radar site related data and the channel signal related data, thereby realizing dynamic adjustment of a radar monitoring site, further realizing improvement of accuracy of the tornado detection collaborative tracking data, and effectively solving the problem of inaccurate tornado detection collaborative tracking data in the prior art.
It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. It is therefore intended that the following claims be interpreted as including the preferred embodiments and all such alterations and modifications as fall within the scope of the invention.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.

Claims (9)

1.龙卷风探测协同跟踪方法,其特征在于,包括以下步骤:1. A tornado detection and collaborative tracking method, comprising the following steps: S1,基于获取的超精细雷达站点相关数据进行超精细雷达站点评估得到超精细雷达站点评估值,基于超精细雷达站点评估值判断是否进行协同追踪调整,所述超精细雷达站点评估值用于评估超精细雷达协同追踪龙卷风的准确性;S1, performing a hyperfine radar site evaluation based on the acquired hyperfine radar site related data to obtain a hyperfine radar site evaluation value, and judging whether to perform a collaborative tracking adjustment based on the hyperfine radar site evaluation value, wherein the hyperfine radar site evaluation value is used to evaluate the accuracy of the hyperfine radar collaborative tracking of the tornado; S2,基于获取的高速搜索雷达站点相关数据进行高速搜索雷达站点评估得到高速搜索雷达站点评估值,基于高速搜索雷达站点评估值判断是否进行搜索准确性调整,所述高速搜索雷达站点评估值用于评估高速搜索雷达搜索龙卷风的准确性;S2, performing a high-speed search radar site evaluation based on the acquired high-speed search radar site related data to obtain a high-speed search radar site evaluation value, and judging whether to perform a search accuracy adjustment based on the high-speed search radar site evaluation value, wherein the high-speed search radar site evaluation value is used to evaluate the accuracy of the high-speed search radar in searching for tornadoes; S3,根据进行协同追踪调整后的超精细雷达站点评估值、进行搜索准确性调整后的高速搜索雷达站点评估值和通道信号相关数据进行雷达接收通道信号评估得到通道信号评估值,基于通道信号评估值判断是否进行雷达信号干扰调整,所述通道信号评估值用于评估超精细雷达和高速搜索雷达接收信号强度衰减情况;S3, evaluating the radar receiving channel signal according to the ultra-fine radar site evaluation value after the coordinated tracking adjustment, the high-speed search radar site evaluation value after the search accuracy adjustment, and the channel signal related data to obtain a channel signal evaluation value, and judging whether to perform radar signal interference adjustment based on the channel signal evaluation value, wherein the channel signal evaluation value is used to evaluate the attenuation of the receiving signal strength of the ultra-fine radar and the high-speed search radar; S4,基于超精细雷达站点相关数据、高速搜索雷达站点相关数据和通道信号相关数据绘制遮挡区域图;S4, drawing a blocked area map based on the ultra-fine radar site related data, the high-speed search radar site related data and the channel signal related data; 所述基于获取的超精细雷达站点相关数据进行超精细雷达站点评估得到超精细雷达站点评估值的具体过程如下:The specific process of performing the ultra-fine radar site evaluation based on the acquired ultra-fine radar site related data to obtain the ultra-fine radar site evaluation value is as follows: 通过障碍高度、障碍距离和从数据库中获取的参考超精细雷达探测第一权重进行计算获取超精细雷达遮挡角符合值;Obtaining a super-fine radar obstruction angle compliance value by calculating the obstacle height, the obstacle distance and a reference super-fine radar detection first weight obtained from a database; 通过第一目标距离、目标高度和从数据库中获取的参考超精细雷达探测第二权重进行计算获取超精细雷达视距符合值;Obtaining a super-fine radar sight range compliance value by calculating the first target distance, the target height and a second weight of a reference super-fine radar detection obtained from a database; 通过从数据库中获取的预设雷达遮挡最大值与超精细雷达遮挡角符合值进行比值运算获取雷达遮挡符合值;The radar shielding compliance value is obtained by performing a ratio operation between the preset radar shielding maximum value obtained from the database and the ultra-fine radar shielding angle compliance value; 通过超精细雷达视距符合值和从数据库中获取的预设雷达视距最大值进行比值运算获取雷达视距符合值;The radar sight range compliance value is obtained by performing a ratio operation between the ultra-fine radar sight range compliance value and the preset radar sight range maximum value obtained from the database; 结合雷达遮挡符合值和雷达视距符合值得到超精细雷达站点评估值;The ultra-precise radar site evaluation value is obtained by combining the radar shielding compliance value and the radar sight range compliance value; 预设雷达遮挡最大值通过数据库中历史时间段超精细雷达遮挡角符合值的最大值来表示。The preset radar shielding maximum value is represented by the maximum value of the ultra-fine radar shielding angle compliance value in the historical time period in the database. 2.如权利要求1所述龙卷风探测协同跟踪方法,其特征在于,所述超精细雷达站点相关数据包括障碍高度、障碍距离、第一目标距离和目标高度;2. The tornado detection and collaborative tracking method according to claim 1, wherein the ultra-fine radar site related data includes obstacle height, obstacle distance, first target distance and target height; 所述高速搜索雷达站点相关数据包括第二目标距离和扫描角速度;The high-speed search radar site related data includes the second target distance and scanning angular velocity; 所述通道信号相关数据包括第一信号频率和第二信号频率;The channel signal related data includes a first signal frequency and a second signal frequency; 所述第一目标距离表示超精细雷达到预设龙卷风监测点的距离;The first target distance represents the distance from the ultra-fine radar to the preset tornado monitoring point; 所述第二目标距离表示高速搜索雷达到预设龙卷风监测点的距离;The second target distance represents the distance from the high-speed search radar to the preset tornado monitoring point; 所述第一信号频率表示超精细雷达的信号频率;The first signal frequency represents the signal frequency of the ultra-fine radar; 所述第二信号频率表示高速搜索雷达的信号频率。The second signal frequency represents the signal frequency of a high-speed search radar. 3.如权利要求2所述龙卷风探测协同跟踪方法,其特征在于,所述基于获取的高速搜索雷达站点相关数据进行高速搜索雷达站点评估得到高速搜索雷达站点评估值的具体过程如下:3. The tornado detection collaborative tracking method according to claim 2 is characterized in that the specific process of performing high-speed search radar site evaluation based on the acquired high-speed search radar site related data to obtain the high-speed search radar site evaluation value is as follows: 通过目标高度和第二目标距离进行运算获取初始雷达俯仰角;The initial radar pitch angle is obtained by calculating the target height and the second target distance; 通过初始雷达俯仰角和从数据库中获取的预设雷达俯仰最大值进行比值运算获取雷达俯仰符合值;The radar pitch compliance value is obtained by performing a ratio operation between the initial radar pitch angle and the preset radar pitch maximum value obtained from the database; 通过扫描角速度和从数据库中获取的预设扫描角速度最大值进行比值运算获取扫描角速度符合值;The scanning angular velocity compliance value is obtained by performing a ratio operation between the scanning angular velocity and the preset scanning angular velocity maximum value obtained from the database; 结合雷达俯仰符合值和扫描角速度符合值得到高速搜索雷达站点评估值。The radar pitch coincidence value and the scanning angular velocity coincidence value are combined to obtain the high-speed search radar site evaluation value. 4.如权利要求2所述龙卷风探测协同跟踪方法,其特征在于,所述通道信号评估值的具体获取过程如下:4. The tornado detection collaborative tracking method according to claim 2, wherein the specific process of obtaining the channel signal evaluation value is as follows: 结合超精细雷达损耗符合值和高速搜索雷达损耗符合值得到通道信号评估值;The channel signal evaluation value is obtained by combining the ultra-fine radar loss coincidence value and the high-speed search radar loss coincidence value; 所述超精细雷达损耗符合值通过初始超精细雷达损耗值和从数据库中获取的预设超精细雷达损耗最大值进行比值运算的结果表示;The hyperfine radar loss compliance value is represented by the result of a ratio calculation between the initial hyperfine radar loss value and the preset hyperfine radar loss maximum value obtained from the database; 所述初始超精细雷达损耗值通过第一信号频率、第一目标距离和从数据库中获取的光速进行运算得到;The initial hyperfine radar loss value is obtained by calculating the first signal frequency, the first target distance and the speed of light obtained from the database; 所述高速搜索雷达损耗符合值通过初始高速搜索雷达损耗值和从数据库中获取的预设高速搜索雷达损耗最大值进行比值运算的结果表示;The high-speed search radar loss compliance value is represented by the result of a ratio calculation between the initial high-speed search radar loss value and the preset high-speed search radar loss maximum value obtained from the database; 所述初始高速搜索雷达损耗值通过第二信号频率、第二目标距离和从数据库中获取的光速进行运算得到。The initial high-speed search radar loss value is obtained by calculating the second signal frequency, the second target distance and the speed of light obtained from the database. 5.如权利要求1所述龙卷风探测协同跟踪方法,其特征在于,所述基于超精细雷达站点评估值判断是否进行协同追踪调整的具体过程如下:5. The tornado detection collaborative tracking method according to claim 1, characterized in that the specific process of judging whether to perform collaborative tracking adjustment based on the ultra-fine radar site evaluation value is as follows: A1,判断超精细雷达站点评估值是否符合条件一,当超精细雷达站点评估值符合条件一时,不进行协同追踪调整,反之则执行A2;A1, judging whether the evaluation value of the ultra-fine radar site meets condition 1. If the evaluation value of the ultra-fine radar site meets condition 1, no coordinated tracking adjustment is performed. Otherwise, A2 is executed. A2,进行脉冲压缩,当监测的超精细雷达站点评估值符合条件一时,停止进行协同追踪调整,反之则执行A3;A2, pulse compression is performed. When the evaluation value of the monitored ultra-fine radar site meets condition 1, the coordinated tracking adjustment is stopped. Otherwise, A3 is executed; A3,进行相位编码调制,当监测的超精细雷达站点评估值符合条件一时,停止进行协同追踪调整,反之则发送报警提示;A3, phase coding modulation is performed. When the evaluation value of the monitored ultra-fine radar site meets condition 1, the coordinated tracking adjustment is stopped. Otherwise, an alarm prompt is sent; 所述条件一表示超精细雷达站点评估值不低于从数据库获取的参考超精细雷达评估阈值。The condition one indicates that the hyperfine radar site evaluation value is not lower than a reference hyperfine radar evaluation threshold obtained from a database. 6.如权利要求5所述龙卷风探测协同跟踪方法,其特征在于,所述超精细雷达站点评估值的限制表达式如下:6. The tornado detection and collaborative tracking method according to claim 5, wherein the limiting expression of the ultra-fine radar site evaluation value is as follows: ; 式中,表示超精细雷达在第r个预设时间点的超精细雷达站点评估值,,r表示预设时间点的编号,m表示预设时间点的总数量,表示超精细雷达在第r个预设时间点对应的超精细雷达遮挡角符合值,表示超精细雷达在第r个预设时间点对应的超精细雷达视距符合值,表示预设雷达遮挡最大值,表示预设雷达视距最大值,e表示自然常数。In the formula, represents the hyperfine radar site evaluation value at the rth preset time point, , r represents the number of the preset time point, m represents the total number of preset time points, It represents the super-fine radar shielding angle compliance value corresponding to the super-fine radar at the rth preset time point, It represents the hyperfine radar sight range compliance value corresponding to the hyperfine radar at the rth preset time point, Indicates the preset radar shielding maximum value. It represents the preset maximum value of radar sight range, and e represents a natural constant. 7.如权利要求3所述龙卷风探测协同跟踪方法,其特征在于,所述基于高速搜索雷达站点评估值判断是否进行搜索准确性调整的具体过程如下:7. The tornado detection and collaborative tracking method according to claim 3 is characterized in that the specific process of judging whether to adjust the search accuracy based on the high-speed search radar site evaluation value is as follows: B1,判断高速搜索雷达站点评估值是否符合条件二,当高速搜索雷达站点评估值符合条件二时,不进行搜索准确性调整,反之则执行B2;B1, judging whether the high-speed search radar site evaluation value meets condition 2. When the high-speed search radar site evaluation value meets condition 2, no search accuracy adjustment is performed, otherwise B2 is executed; B2,发送提示给预设人员更改高速搜索雷达的波形,当监测的高速搜索雷达站点评估值符合条件二时,停止进行搜索准确性调整,反之则执行B3;B2, sending a prompt to the preset personnel to change the waveform of the high-speed search radar. When the monitored high-speed search radar site evaluation value meets condition 2, stop adjusting the search accuracy. Otherwise, execute B3; B3,进行相干检测,当监测的高速搜索雷达站点评估值符合条件二时,停止进行搜索准确性调整,反之则发送报警提示;B3, perform coherent detection. When the evaluation value of the monitored high-speed search radar site meets condition 2, stop adjusting the search accuracy. Otherwise, send an alarm prompt. 所述条件二表示高速搜索雷达站点评估值不低于从数据库获取的参考高速搜索雷达阈值。The second condition indicates that the high-speed search radar site evaluation value is not lower than the reference high-speed search radar threshold obtained from the database. 8.如权利要求4所述龙卷风探测协同跟踪方法,其特征在于,所述基于通道信号评估值判断是否进行雷达信号干扰调整的具体过程如下:8. The tornado detection and collaborative tracking method according to claim 4, characterized in that the specific process of judging whether to perform radar signal interference adjustment based on the channel signal evaluation value is as follows: C1,判断通道信号评估值是否符合条件三,当通道信号评估值符合条件三时,不进行雷达信号干扰调整,反之则执行C2;C1, determine whether the channel signal evaluation value meets condition three. When the channel signal evaluation value meets condition three, no radar signal interference adjustment is performed. Otherwise, C2 is executed; C2,发送提示给预设人员进行射频信号放大,当监测的通道信号评估值符合条件三时,停止进行雷达信号干扰调整,反之则执行C3;C2, send a prompt to the preset personnel to amplify the RF signal. When the monitored channel signal evaluation value meets condition three, stop the radar signal interference adjustment, otherwise execute C3; C3,进行多普勒频移补偿,当监测的通道信号评估值符合条件三时,停止进行雷达信号干扰调整,反之则发送报警提示;C3, perform Doppler frequency shift compensation. When the monitored channel signal evaluation value meets condition three, stop radar signal interference adjustment. Otherwise, send an alarm prompt. 所述条件三表示通道信号评估值不高于从数据库中获取的参考信号干扰阈值。The condition three indicates that the channel signal evaluation value is not higher than the reference signal interference threshold obtained from the database. 9.如权利要求1所述龙卷风探测协同跟踪方法,其特征在于,所述基于超精细雷达站点相关数据、高速搜索雷达站点相关数据和通道信号相关数据绘制遮挡区域图的具体过程如下:9. The tornado detection and collaborative tracking method according to claim 1, characterized in that the specific process of drawing the obstruction area map based on the ultra-fine radar site related data, the high-speed search radar site related data and the channel signal related data is as follows: 进行站址净空环境分析;Conduct site clearance environment analysis; 结合进行协同追踪调整后的超精细雷达站点相关数据、进行搜索准确性调整后的高速搜索雷达站点相关数据、进行雷达信号干扰调整后的通道信号相关数据绘制遮挡区域图。The blocked area map is drawn by combining the ultra-fine radar site related data after collaborative tracking adjustment, the high-speed search radar site related data after search accuracy adjustment, and the channel signal related data after radar signal interference adjustment.
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