CN114935760B - Method and device for estimating biological size by weather radar based on motion direction information - Google Patents
Method and device for estimating biological size by weather radar based on motion direction information Download PDFInfo
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S13/00—Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
- G01S13/88—Radar or analogous systems specially adapted for specific applications
- G01S13/95—Radar or analogous systems specially adapted for specific applications for meteorological use
- G01S13/958—Theoretical aspects
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S13/00—Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
- G01S13/02—Systems using reflection of radio waves, e.g. primary radar systems; Analogous systems
- G01S13/50—Systems of measurement based on relative movement of target
- G01S13/58—Velocity or trajectory determination systems; Sense-of-movement determination systems
- G01S13/62—Sense-of-movement determination
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S7/00—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
- G01S7/02—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00
- G01S7/41—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00 using analysis of echo signal for target characterisation; Target signature; Target cross-section
- G01S7/418—Theoretical aspects
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A90/00—Technologies having an indirect contribution to adaptation to climate change
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Abstract
The invention relates to the technical field of radar detection and provides a weather radar biotype estimation method and device based on movement direction information, wherein the method comprises the following steps of collecting Doppler velocity data of living beings and differential reflectivity factor data of echoes, performing space matching according to a distance library and azimuth angles, performing cosine fitting on a function of the Doppler velocity changing along with azimuth sequences, constructing a sine function to express the differential reflectivity factors, selecting the differential reflectivity factors of different arbitrary two points in the azimuth sequences, and calculatingAndThe value is calculated by forming a binary primary equation set by the differential reflectivity factors of two points, solving and obtaining K f and K l, traversing other different two points in the azimuth sequence, solving all binary primary equation sets and obtaining the average valueAndAccording to the method, the differential reflectivity factor parameters combined with the motion information are obtained according to the Doppler speed, so that the differential reflectivity factor is more accurate in value, the length-axis ratio of the lateral direction and the end direction of the living beings is solved to determine the body type, and the accuracy of extracting the biological information is improved.
Description
Technical Field
The invention relates to the technical field of radar detection, in particular to a weather radar biotype estimation method and device based on movement direction information.
Background
Bird strike refers to an event in which an aircraft collides with birds, bats, etc. during take-off and landing or flight, or an event in which normal flight activities are affected by animal activities. According to the information analysis report of the national aviation bird strike aircraft in 2012 issued by the civil aviation general office, 2553 bird strike events are commonly occurred in the whole China industry, wherein the number of accident symptoms is 148 and is 55 percent of the total number of all accident symptoms, and the number of bird strike events 429 which occur in the airport responsibility range is 85 airports, so that the economic loss is 1.87 hundred million Yuan-people-coin, and the data mainly come from incomplete statistics in the aspects of mechanical maintenance and airline operation, and do not include indirect loss caused by flight cancellation, delay and the like.
At present, the bird condition observation means of civil aviation in China uses the support of related technical means such as detection radars and the like to assist in carrying out bird repelling work. The radar has the advantages of being free from the limitation of factors such as visibility, bad weather and the like, and has the advantages of all weather, automation, large monitoring area, wide application range and the like. The ecological target flying in the air has the characteristics of body length, body width, wing shape and other body types, so that the radar scattering sectional areas in the horizontal direction and the vertical direction are greatly different, and different echoes are generated by the horizontal polarized electromagnetic wave and the vertical polarized electromagnetic wave, so that the body type of the living beings can be estimated from the information in the weather radar echoes.
The different included angles of the ecological target object and the radar electromagnetic wave propagation direction can cause the double polarization amount change of the ecological target object echo, and the movement direction of the ecological target object can cause the difference of the biological body gestures, and the different body gestures can cause the radar electromagnetic wave to generate different polarization characteristics at different incidence angles, especially influence the differential reflectivity factor, so that the value of the differential reflectivity factor can not adapt to different polarization data, and the calculation error of the extracted biological type information is large.
Disclosure of Invention
In view of this, the invention aims to obtain biological motion information according to radar Doppler velocity, and combine the motion information to take the value of differential reflectivity factor parameters, so as to solve the length-axis ratio of the lateral direction and the end direction of the living beings to determine the body type, thereby improving the accuracy of biological information extraction.
The invention provides a weather radar biotype estimation method based on movement direction information, which comprises the following steps:
s1, acquiring Doppler speed data of an ecological target and differential reflectivity factor data of a biological echo, and performing space matching on the Doppler speed and the differential reflectivity factor according to a distance library and an azimuth angle;
the relation expression of the Doppler speed and the ecological target movement speed is as follows:
In the formula (1.1), V bio is the motion speed of a biological target, V r is the weather radar radial speed=doppler speed, phi is the included angle between the biological motion direction and the weather radar radial direction, and Δv is the system deviation;
S2, selecting a function v r (n) of the Doppler velocity v r along with the change of the azimuth sequence n, wherein the expression of the function v r (n) is as follows:
cosine fitting is carried out on a function v r (n), and the cosine fitting function is as follows:
in the formula (1.3), phi is approximately equal to c;
S3, constructing a sine function according to the fitting result of cosine fitting:
The differential reflectance factor zdr r (n) expressed as the sine function (1.4) is:
In the formula (1.5), K f and K l are biological physical parameters, K f is a long-short axial ratio of a biological side direction, and K l is a long-short axial ratio of a biological tail end or a biological head end;
s4, selecting different differential reflectivity factors zdr r(ni) and zdr r(nj of any two points in the azimuth sequence n), and calculating to obtain AndIs a value of (2);
At a known position Based on zdr r (n), converting the formula (1.5) into a binary primary equation, forming a binary primary equation set by differential reflectivity factor data of any two-point biological echo, and solving the binary primary equation set to obtain K f and K l, wherein the binary primary equation set is as follows:
S5, continuously selecting other different two points in the azimuth sequence n, repeating the step S4 until the azimuth sequence n traverses, and solving all binary once equation sets (1.6) to obtain the average value of K f and K l And
Further, the step S5 further comprises the step of averaging the average valueAndOutput to the appointed position byPrinting deviceThe lateral direction of the ecological object is represented by the length-axis ratio of the tail end or the head end to determine the body shape of the ecological object.
The invention also provides a weather radar biotype estimating device based on the movement direction information, which executes the weather radar biotype estimating method based on the movement direction information, comprising the following steps:
the weather radar is used for acquiring Doppler speed data of an ecological target and differential reflectivity factor data of a biological echo;
The data loader is used for loading Doppler speed data and differential reflectivity factor data and performing space matching with azimuth angles according to a distance library;
the azimuth fitting processor is used for obtaining an included angle between the biological movement direction and the radial direction of the weather radar through the input radar radial speed data;
and the differential reflectivity factor arithmetic unit is used for constructing a binary once equation set by utilizing the output result of the azimuth fitting processor and the matched differential reflectivity factor, and solving the lateral long-short axial ratio and the end-to-end long-short axial ratio of the living being.
Further, the weather radar biotype estimation device further comprises:
and the data output device outputs the lateral long-short axis ratio and the end-to-end long-short axis ratio of the ecological object, and determines the body shape of the ecological object through the lateral long-short axis ratio and the end-to-end or head-end long-short axis ratio of the ecological object.
The present invention also provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the weather radar biotype estimation method as described above.
The invention also provides a computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the steps of the weather radar biotype estimation method as described above when executing the program.
Compared with the prior art, the invention has the beneficial effects that:
According to the method, biological motion information is obtained through radar Doppler speed, differential reflectivity factor parameters combined with the motion information are obtained, the differential reflectivity factor is more accurate in value, the biological lateral and end-to-end long and short axis ratio is solved to determine the biological type, and the accuracy of biological information extraction is greatly improved.
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Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention.
In the drawings:
FIG. 1 is a flow chart of a weather radar biotype estimation method based on movement direction information according to the present invention;
FIG. 2 is a schematic diagram of a computer device according to an embodiment of the present invention;
FIG. 3 is a schematic view of the angles between the direction of biological motion and the radial direction of the weather radar according to an embodiment of the present invention;
FIG. 4 is a schematic diagram showing the transformation of radar radial velocity v r with azimuth sequence n according to an embodiment of the present invention;
FIG. 5 is a schematic diagram showing a system configuration of a weather radar biotype estimation device according to an embodiment of the invention;
FIG. 6 is a graph of radar returns generated by night shoal target migration activity detected by a weather radar in accordance with an embodiment of the present invention;
FIG. 7 is a histogram of probability distribution of differential reflectivity factors versus Doppler velocity for bird-swarm target migration echoes in accordance with an embodiment of the present invention;
FIG. 8 is a graph of a cosine fit of Doppler velocity of a bird's nest target versus a velocity sine function based on the cosine fit for an embodiment of the present invention;
FIG. 9 is a plot of the resulting lateral to end-to-end axial ratio of a bird population target according to an embodiment of the present invention;
FIG. 10 is a histogram of probability distribution of lateral to end axis ratios for bird swarm targets in accordance with an embodiment of the present invention;
fig. 11 is a diagram showing an example of the body shape of an avian object according to an application example of the present invention.
Detailed Description
Reference will now be made in detail to exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numbers in different drawings refer to the same or similar elements, unless otherwise indicated. The implementations described in the following exemplary examples are not representative of all implementations consistent with the present disclosure. Rather, they are merely examples of apparatus and products consistent with some aspects of the disclosure as detailed in the appended claims.
The terminology used in the present disclosure is for the purpose of describing particular embodiments only and is not intended to be limiting of the disclosure. As used in this disclosure and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should also be understood that the term "and/or" as used herein refers to and encompasses any or all possible combinations of one or more of the associated listed items.
It should be understood that although the terms first, second, third, etc. may be used in this disclosure to describe various information, these information should not be limited to these terms. These terms are only used to distinguish one type of information from another. For example, first information may also be referred to as second information, and similarly, second information may also be referred to as first information, without departing from the scope of the present disclosure. The term "if" as used herein may be interpreted as "at..once" or "when..once" or "in response to a determination", depending on the context.
Embodiments of the present invention will be described in further detail below with reference to the accompanying drawings.
The embodiment of the invention provides a weather radar biotype estimation method based on movement direction information, which is shown in fig. 1 and comprises the following steps:
s1, acquiring Doppler speed data of an ecological target and differential reflectivity factor data of a biological echo, and performing space matching on the Doppler speed and the differential reflectivity factor according to a distance library and an azimuth angle;
the relation expression of the Doppler speed and the ecological target movement speed is as follows:
In the formula (1.1), V bio is the motion speed of the biological target, V r is the weather radar radial speed=doppler speed, phi is the included angle between the biological motion direction and the weather radar radial direction (see fig. 3), and Δv is the system deviation;
S2, selecting a function v r (n) of the Doppler velocity v r along with the change of the azimuth sequence n, wherein the expression of the function v r (n) is as follows:
referring to fig. 4, a schematic diagram of the change of the doppler velocity v r with the azimuth sequence n is shown;
cosine fitting is carried out on a function v r (n), and the cosine fitting function is as follows:
in the formula (1.3), phi is approximately equal to c;
S3, constructing a sine function according to the fitting result of cosine fitting:
The differential reflectance factor zdr r (n) expressed as the sine function (1.4) is:
In the formula (1.5), K f and K l are biological physical parameters, K f is a long-short axial ratio of a biological side direction, and K l is a long-short axial ratio of a biological tail end or a biological head end;
s4, selecting different differential reflectivity factors zdr r(ni) and zdr r(nj of any two points in the azimuth sequence n), and calculating to obtain AndIs a value of (2);
At a known position Based on zdr r (n), converting the formula (1.5) into a binary primary equation, forming a binary primary equation set by differential reflectivity factor data of any two-point biological echo, and solving the binary primary equation set to obtain K f and K l, wherein the binary primary equation set is as follows:
S5, continuously selecting other different two points in the azimuth sequence n, repeating the step S4 until the azimuth sequence n traverses, and solving all binary once equation sets (1.6) to obtain the average value of K f and K l And
The step S5 further comprises the step of averaging the average valueAndOutput to the appointed position byAndThe lateral direction of the ecological object is represented by the length-axis ratio of the tail end or the head end to determine the body shape of the ecological object.
The present invention also provides a weather radar biotype estimating device based on movement direction information, which executes the weather radar biotype estimating method based on movement direction information as described above, referring to fig. 5, comprising:
the weather radar is used for acquiring Doppler speed data of an ecological target and differential reflectivity factor data of a biological echo;
The data loader is used for loading Doppler speed data and differential reflectivity factor data and performing space matching with azimuth angles according to a distance library;
the azimuth fitting processor is used for obtaining an included angle between the biological movement direction and the radial direction of the weather radar through the input radar radial speed data;
and the differential reflectivity factor arithmetic unit is used for constructing a binary once equation set by utilizing the output result of the azimuth fitting processor and the matched differential reflectivity factor, and solving the lateral long-short axial ratio and the end-to-end long-short axial ratio of the living being.
And the data output device outputs the lateral long-short axis ratio and the end-to-end long-short axis ratio of the ecological object, and determines the body shape of the ecological object through the lateral long-short axis ratio and the end-to-end or head-end long-short axis ratio of the ecological object.
Application example
By adopting the weather radar biotype estimation method based on the movement direction information, the weather radar detects the shoal migration activity at night, and as shown in fig. 6, a shoal target causes a large-area echo on the weather radar.
Referring to fig. 7, there is shown a probability distribution of differential reflectivity factors and doppler velocities of bird group migration echoes;
Referring to FIG. 8, a cosine fit according to Doppler velocity of a bird's nest target and a velocity sine function based on the cosine fit are shown;
referring to FIG. 9, a resulting distribution of calculated lateral to end axial ratios of the bird population targets is shown;
In the application example of the invention, the average value of the axial ratio of the bird target object is obtained to obtain the lateral axial ratio of 6.2dB, the end-to-axial ratio of 1.7dB, the lateral axial ratio of the bird type of the current day is obtained to obtain the lateral axial ratio of 4.1, the end-to-axial ratio of 1.5, the ratio of the length, the width and the height of birds is 4.1:1.5:1, the probability distribution histogram of the lateral axial ratio and the end-to-axial ratio of the bird target object is shown in fig. 10, and the body type example of the bird target object is shown in fig. 11.
Through actual measurement of application examples, the embodiment of the invention obtains biological motion information according to the radar Doppler speed, obtains the differential reflectivity factor parameter combined with the motion information, ensures that the value of the differential reflectivity factor is more accurate, solves the ratio of the lateral axis to the end axis of the living beings to determine the body type, and greatly improves the accuracy of biological information extraction.
The embodiment of the invention further provides a computer device, fig. 2 is a schematic structural diagram of the computer device provided by the embodiment of the invention, and referring to fig. 2 of the drawings, the computer device comprises an input device 23, an output device 24, a memory 22 and a processor 21, wherein the memory 22 is used for storing one or more programs, when the one or more programs are executed by the one or more processors 21, the one or more processors 21 implement the weather radar biotype estimation method based on movement direction information provided by the embodiment of the invention, and the input device 23, the output device 24, the memory 22 and the processor 21 can be connected through a bus or other modes, and in fig. 2, the connection through the bus is taken as an example.
The memory 22 is a computer-readable and writable storage medium, and may be used to store a software program, a computer-executable program, and program instructions corresponding to a weather radar biotype estimation method based on movement direction information according to an embodiment of the present invention, the memory 22 may mainly include a memory program area and a memory data area, wherein the memory program area may store an operating system, an application program required for at least one function, the memory data area may store data created according to use of the device, etc., and the memory 22 may further include a high-speed random access memory, a nonvolatile memory such as at least one magnetic disk storage device, a flash memory device, or other nonvolatile solid-state storage device, and in some examples, the memory 22 may further include a memory remotely located with respect to the processor 21, and these remote memories may be connected to the device through a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The input means 23 may be used for receiving input numeric or character information and for generating key signal inputs related to user settings and function control of the device, and the output means 24 may comprise a display device such as a display screen.
The processor 21 executes various functional applications of the apparatus and data processing, namely, implements the weather radar biotype estimation method based on the movement direction information described above by running the software programs, instructions and modules stored in the memory 22.
The computer device provided by the above embodiment can be used for executing the weather radar biotype estimation method based on the movement direction information, and has corresponding functions and beneficial effects.
Embodiments of the present invention also provide a storage medium containing computer executable instructions which, when executed by a computer processor, are used to perform a weather radar biotype estimation method based on movement direction information as provided by the above embodiments, the storage medium being any of various types of memory devices or storage devices, including an installation medium, such as a CD-ROM, floppy disk or tape means, a computer system memory or random access memory, such as DRAM, DDR RAM, SRAM, EDO RAM, lanbas (Rambus) RAM, etc., a non-volatile memory, such as flash memory, magnetic media (e.g., hard disk or optical storage), registers or other similar types of memory elements, etc., the storage medium may also comprise other types of memory or combinations thereof, in addition, the storage medium may be located in a first computer system in which the program is executed, or may be located in a different second computer system, the second computer system being connected to the first computer system through a network, such as the internet, the second computer system may provide program instructions to the first computer for execution. Storage media includes two or more storage media that may reside in different locations (e.g., in different computer systems connected by a network). The storage medium may store program instructions (e.g., embodied as a computer program) executable by one or more processors.
Of course, the storage medium containing the computer executable instructions provided in the embodiments of the present invention is not limited to the weather radar biotype estimation method based on the movement direction information described in the above embodiments, and may also perform the relevant operations in the weather radar biotype estimation method based on the movement direction information provided in any embodiment of the present invention.
Thus far, the technical solution of the present invention has been described in connection with the preferred embodiments shown in the drawings, but it is easily understood by those skilled in the art that the scope of protection of the present invention is not limited to these specific embodiments. Equivalent modifications and substitutions for related technical features may be made by those skilled in the art without departing from the principles of the present invention, and such modifications and substitutions will be within the scope of the present invention.
The above description is only of the preferred embodiments of the present invention and is not intended to limit the present invention, and various modifications and variations of the present invention will be apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
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| CN112051569A (en) * | 2020-09-10 | 2020-12-08 | 北京润科通用技术有限公司 | Radar target tracking speed correction method and device |
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