CN114019458B - A pulse compression method for combined agile waveforms within a pulse and a software-based radar system - Google Patents
A pulse compression method for combined agile waveforms within a pulse and a software-based radar system Download PDFInfo
- Publication number
- CN114019458B CN114019458B CN202111305372.1A CN202111305372A CN114019458B CN 114019458 B CN114019458 B CN 114019458B CN 202111305372 A CN202111305372 A CN 202111305372A CN 114019458 B CN114019458 B CN 114019458B
- Authority
- CN
- China
- Prior art keywords
- subsystem
- waveform
- signal processing
- pulse compression
- pulse
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Classifications
-
- 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
- G01S7/28—Details of pulse systems
- G01S7/2806—Employing storage or delay devices which preserve the pulse form of the echo signal, e.g. for comparing and combining echoes received during different periods
-
- 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
- Y02A90/10—Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation
Landscapes
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Radar, Positioning & Navigation (AREA)
- Remote Sensing (AREA)
- Radar Systems Or Details Thereof (AREA)
Abstract
The invention discloses an intra-pulse combined agile waveform pulse compression method and a software radar system, belongs to the technical field of radar detection signal processing, and solves the problem of acquisition of pulse compression coefficients in the process of agile operation of intra-pulse variable frequency sub-pulse combined waveforms. The pulse combination waveform is selected and combined randomly from a plurality of groups of different waveforms, so that the waveform is rapid, the anti-interference effect is good, the corresponding coefficients are directly extracted from the memory, the delay caused by real-time calculation is reduced, and the processing time is shortened.
Description
Technical Field
The invention belongs to the technical field of radar detection signal processing, and relates to an intra-pulse combined agile waveform pulse compression method and a software radar system.
Background
Modern radar systems typically require long detection ranges and high range resolution. Increasing the range resolution of the radar can be achieved using very short pulses, but using short pulses reduces the average transmit power of the radar, which can impair its due power. Because the average transmit power is directly related to the signal-to-noise ratio of the receiver, it is often desirable to increase the pulse width, i.e., increase the average transmit power, while maintaining adequate resolution. Pulse compression techniques enable radar to obtain range resolution comparable to short pulses while obtaining average transmit power comparable to long pulses.
Pulse compression radar transmits long pulse signals, then receives radar echoes, compresses them, and processes them into short pulses. The essence of pulse compression is to realize the matched filtering of signals, and the realization method comprises a time domain pulse compression method and a frequency domain pulse compression method. Assuming that the signal waveform is s, then the conjugate inversion of the signal, i.e., c= conj (fliplr (s)), is taken as the pulse compression factor (conj is taken as the conjugate, fliplr is the data inversion). As shown in fig. 1, the time-domain pulse compression method is to convolve a signal with a pulse compression coefficient, and the pulse pressure result pc=conv (s, c), conv is a convolution operation. As shown in fig. 2, the frequency domain pulse compression method is pc=ifft (fft(s). Fft (c)), where fft is the fast fourier transform and ifft is the inverse fourier transform. Then the frequency domain processing requires three steps, 1) FFT of the sampled sequence, 2) multiplication of the frequency domain sequence of the signal with the matched filter impulse response, i.e. FFT of the pulse compression coefficient, and 3) inverse FFT of the complex frequency domain sequence to obtain the time domain compressed pulse. Although the frequency domain pulse compression method appears to be somewhat more step-wise, it now has an efficient FFT algorithm, both FPGA and c++. Since the frequency domain pulse compression method is used to reduce the amount of computation compared to the time domain convolution, when a large pulse pressure ratio is required in engineering implementation, the frequency domain pulse compression method is generally used.
In order to improve anti-reconnaissance anti-interference capability of a radar, a pulse combination agile waveform working mode is designed for a certain radar device, the waveform is formed by splicing 4 sections of basic waveforms, each section of waveform is composed of 50 microsecond quadrature phase coded signals, and 18 orthogonal basic waveforms are provided in total. When transmitting signals each time, 4 kinds of signals are randomly selected from 18 kinds of basic waveform libraries by a DBF subsystem, 4 kinds of offset frequencies are given to the 4 kinds of waveforms at the same time, and then the signals are combined into a whole-section intra-pulse variable frequency sub-pulse combined agile waveform. Such that the waveform is of a kind up to 18×4×17×3×16×2×15×1= 1762560. As the waveforms are millions, the waveforms are almost different every time the radar is transmitted, and the enemy cannot acquire the waveform change rule of the my, so that the anti-interference capability of the radar is greatly improved. The waveform also employs pulse compression techniques to achieve high power and high range resolution, and thus presents a problem in how to obtain such a variety of pulse compression coefficients.
In reality, there may be several tens of radar waveforms. The conventional method stores and numbers the required pulse compression coefficient in advance, reads the pulse compression coefficient and stores the pulse compression coefficient into a memory when the signal processing software is started, and directly reads the corresponding coefficient when the pulse compression processing is performed. When a new signal needs to be processed, the situation that the pulse compression coefficients are not matched occurs, so that not only is a new signal waveform required to be added, but also a pre-solidified pulse compression coefficient file is required to be changed again, and the situation is troublesome.
As shown in fig. 3, the conventional pulse compression system is generally implemented by a signal processing engineer using Matlab to generate pulse compression coefficients corresponding to the tens of waveforms in advance, and solidifying the generated pulse compression coefficients in a certain memory of a signal processing board in a file form, for example, the document "research and implementation of multi-waveform digital pulse compression system hardware based on dsp_fpga" (Pu Wentao, university of electronic technology, national institute of electronic technology, 2006) and the document "multi-waveform pulse compression research and implementation" (Rong Jun, university of electronic technology, national of electronic technology, 2004) all adopt this method. When the radar is powered on, the signal processing subsystem reads the pulse compression coefficient data into the memory. During the transmitting period of the radar, the main control subsystem sends various control parameters (including waveform numbers) to the signal processing subsystem, the signal processing subsystem distributes the control parameters to the receiving and transmitting subsystem, and the receiving and transmitting subsystem generates a preset transmitting waveform according to the waveform numbers and the preset meanings. And during the receiving period of the radar, the receiving and transmitting subsystem sends the echo data to the signal processing subsystem for processing (including pulse compression processing), and at the moment, the signal processing subsystem looks up a table according to the waveform number received during the transmitting period to obtain a data address of the pulse compression coefficient with the corresponding number so as to obtain a correct pulse compression coefficient, and then pulse compression processing is carried out. Typically, TTL hard-wired is used as a waveform number, and typically no more than 6 bits (e.g., 000001 is a 1# waveform, 000010 is a 2# waveform,... However, for millions of waveforms, if the waveform code control bits are 21 bits (2ζ0=1048576) in the manner described above, the storage space is 1768530×6e6x50×32×2/1e12/8=4230 TByte, which is not available at all for a radar.
Disclosure of Invention
The invention aims to design a pulse compression method of an intra-pulse combined agile waveform to solve the problem of acquiring a pulse compression coefficient in the process of the intra-pulse frequency conversion subpulse combined waveform agile operation, and provides a software radar system.
The invention solves the technical problems through the following technical scheme:
an intra-pulse combined agile waveform pulse compression method comprising the steps of:
S1, in the design stage of a radar working mode, a plurality of basic waveform samples are imported and stored in a wave control subsystem database;
S2, in the radar initialization stage, the wave control subsystem numbers and sends various basic waveform sample numbers to the DBF subsystem and the signal processing subsystem for pre-caching, and the signal processing subsystem generates corresponding pulse compression coefficients according to the basic waveforms and stores the pulse compression coefficients in a server memory of the signal processing subsystem;
S3, in the radar transmitting stage, the wave control subsystem transmits the basic waveform number, the combination relation and various offset frequency parameters to the DBF subsystem, and the DBF subsystem generates an intra-pulse different frequency combination sub-pulse agile waveform according to the parameters transmitted by the wave control subsystem;
S4, in the radar receiving stage, the DBF subsystem firstly removes the offset frequency of the echo, then adds a header mark before echo data, and sends the echo data containing the header mark to the signal processing subsystem, and as the signal processing subsystem caches the pulse compression coefficients of the basic waveforms in advance, the signal processing subsystem can obtain correct pulse compression coefficients by inversely combining the basic pulse compression coefficients corresponding to the combined waveforms according to the indication of the echo header, and the correct pulse pressure operation is completed.
The main control subsystem automatically sends basic waveform samples to the DBF and the signal processing subsystem at the beginning of each working mode start for waveform real-time generation and basic pulse compression coefficient generation, and when radar echoes are sent to signal processing, waveform combination numbers are contained in the word head, and the signal processing generates new pulse compression coefficients according to the combination numbers in a real-time combination and splicing mode. The pulse combined waveform is randomly selected and combined from a plurality of groups of different waveforms by the DBF subsystem, so that the waveform agility is formed, the anti-interference effect is good, the signal processing subsystem directly extracts corresponding coefficients from the memory, the time delay caused by real-time calculation is reduced, and the processing time is shortened.
As a further improvement of the technical scheme of the invention, the echo data word header mark comprises a basic waveform number and a combination relation used for signal processing.
A software radar system adopting the pulse compression method of the pulse combination agile waveform comprises a wave control subsystem, a DBF subsystem, a signal processing subsystem, a receiving and transmitting subsystem and an antenna, wherein the front end of the radar system comprises the receiving and transmitting subsystem and the antenna, the rear end of the radar system comprises the DBF subsystem, the wave control subsystem and the signal processing subsystem, the front end of the radar system transmits specific waveforms according to control commands of the rear end and receives echoes to be processed at the rear end, the wave control subsystem transmits the control commands to the DBF subsystem and interacts with the front end, meanwhile, the DBF subsystem transmits echo signals transmitted by the front end to the signal processing subsystem for processing in a radar receiving period, the signal processing subsystem carries out network communication with the wave control subsystem, and parameters and feedback information are transmitted.
As a further improvement of the technical scheme of the invention, the wave control subsystem sends out control commands to the DBF subsystem through the optical fiber.
As a further improvement of the technical scheme of the invention, the signal processing subsystem and the wave control subsystem communicate through the Ethernet.
As a further improvement of the technical scheme of the invention, the DBF subsystem adopts an FPGA and a high-speed embedded CPU.
The invention has the advantages that:
The main control subsystem automatically sends basic waveform samples to the DBF and the signal processing subsystem at the beginning of each start for waveform real-time generation and basic pulse compression coefficient generation, and when radar echo is sent to signal processing, the character head simultaneously contains waveform combination numbers, and the signal processing generates new pulse compression coefficients according to the combination numbers in real-time combination and splicing. The pulse combination waveform is selected and combined randomly from a plurality of groups of different waveforms, so that the waveform is rapid, the anti-interference effect is good, the corresponding coefficients are directly extracted from the memory, the delay caused by real-time calculation is reduced, and the processing time is shortened. Meanwhile, the method is very flexible, when a new waveform is added, only the waveform parameter database of the main control subsystem is required to be updated, the main control subsystem automatically sends new waveform samples to the DBF and signal processing for waveform real-time generation and basic pulse compression coefficient generation at the beginning of each start, waveform combination numbers are contained in the word head when radar echoes are sent to the signal processing, and the signal processing generates the new pulse compression coefficient according to the combination numbers in a real-time combination and splicing mode.
Drawings
FIG. 1 is a schematic diagram of a pulse compression time domain implementation;
FIG. 2 is a schematic diagram of a pulse compression frequency domain implementation;
FIG. 3 is a block diagram of a conventional pulse pressure system;
FIG. 4 is a diagram of the construction of a radar system according to an embodiment of the present invention;
FIG. 5 is a schematic diagram of a basic waveform and pulse compression coefficients of a buffer during an initialization phase of radar operation according to an embodiment of the present invention;
FIG. 6 is a schematic diagram of pulse pressure achieved by selecting pulse compression coefficients during the radar operation phase according to an embodiment of the present invention;
FIG. 7 is a graph of pulse pressure simulation results for a combination pulse in accordance with an embodiment of the present invention;
fig. 8 is a diagram of the results of pulse pressure engineering implementation of the pulse combination agile waveform according to an embodiment of the present invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions in the embodiments of the present invention will be clearly and completely described in the following in conjunction with the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The technical scheme of the invention is further described below with reference to the attached drawings and specific embodiments:
Example 1
1. Composition of radar system
As shown in fig. 4, the software Lei Dayou wave control subsystem, DBF (digital beam forming) subsystem, signal processing subsystem, and transceiver subsystem and antenna are composed. The receiving and transmitting subsystem and the antenna form a radar front end and are responsible for transmitting specific waveforms according to control commands of the rear end and receiving radar echoes for rear end processing. And the back end consists of a DBF subsystem, a wave control subsystem and a signal processing subsystem, wherein the DBF subsystem consists of an FPGA and a high-speed embedded CPU, and has high-speed processing capability. The wave control and signal processing subsystem consists of high-performance servers, and the processing mode is flexible and is the biggest characteristic. The wave control subsystem is a control center of the radar, and various control commands including waveform parameters are sent out by the control center and sent to the DBF subsystem through optical fibers, and the control commands are interacted with the front end by the DBF subsystem. Meanwhile, the DBF subsystem sends the echo signals sent by the front end to the signal processing subsystem for processing (including pulse compression processing) in the radar receiving period, and the signal processing subsystem and the wave control subsystem communicate through the Ethernet to transfer various parameters and feedback information.
2. Principle of operation
In the design stage of radar working mode, 18 basic waveform samples are imported and stored in a waveguide subsystem database.
As shown in fig. 5, during the initialization of the radar, the wave control subsystem transmits a plurality of basic waveform sample numbers to the DBF subsystem and the signal processing subsystem for pre-buffering, and the signal processing subsystem generates a corresponding pulse compression coefficient according to the basic waveform and stores the pulse compression coefficient in a server memory of the signal processing subsystem.
Assuming 18 base waveforms, s1...s18, respectively, then the corresponding pulse compression coefficients are c1= conj (fliplr (s 1))..c18= conj (fliplr (s 18)), conj is the conjugate and fliplr is the data inversion.
Before the radar transmits signals each time, the wave control subsystem transmits basic waveform numbers, combination relations and various offset frequency parameters to the DBF subsystem, and the DBF subsystem rapidly generates intra-pulse and inter-pulse combined sub-pulse waveforms through the high-performance FPGA according to the parameters transmitted by the wave control subsystem, and the combined waveforms are different each time, so that waveform agility is realized.
Assume that four waveforms s3, s7, s2, s9 and corresponding four offset frequencies f2, f4, f3, f1 are selected. The combined waveform is calculated at high speed by the DBF subsystem:
S Combination of two or more kinds of materials =[s3*exp(j*2pi*f2*t)s7*exp(j*2pi*f4*t)s2*exp(j*2pi*f3*t)s9*exp(j*2pi*f1*t)]
Because the offset frequency does not play a role in pulse pressure operation (namely, the echo with offset frequency and the pulse pressure coefficient with offset frequency do pulse pressure are identical to each other in the pulse pressure result without offset frequency), in order to reduce the operation amount of generating the pulse compression coefficient with offset frequency in real time by signal processing, the offset frequency of the echo is removed by a DBF subsystem during radar receiving. The specific method is that four channel filters with different center offset frequencies are used for filtering out the S Combination of two or more kinds of materials waveform, then f2, f4, f3 and f1 digital local oscillators are used for respectively carrying out down-conversion on the echoes to be baseband signals, and then the baseband signals are combined according to the original sequence, so that the formed combined waveform is S Combined baseband = [ S3S 7S 2S 9].
The DBF subsystem adds a header tag before echo data, wherein the header tag comprises a basic waveform number and a combination relation used by a signal, and the basic waveform number and the combination relation are sent to the signal processing subsystem together. Because the signal processing subsystem caches the pulse compression coefficients of the basic waveforms in advance, the correct pulse compression coefficients can be obtained by just carrying out the same combination on the basic pulse compression coefficients corresponding to the combined waveforms according to the indication of the echo headers, and the correct pulse pressure operation is completed.
Assuming that the pulse compression coefficient of the waveform s3 is c3= conj (fliplr (s 3)), the pulse compression coefficient of s7 is c7= conj (fliplr (s 7)), the pulse compression coefficient of s2 is c2= conj (fliplr (s 2)), and the pulse compression coefficient of s9 is c9= conj (fliplr (s 9)), in which fliplr is a data inversion operation and conj is a conjugate operation, the pulse compression coefficient of the combined waveform s3s7s2s9 is as follows:
conj (fliplr ([s3s7s2s9]))=conj([fliplr(s9) fliplr(s2) fliplr(s7) fliplr(s3)])
=[conj(fliplr(s9)) conj(fliplr(s2)) conj(fliplr(s7)) conj(fliplr(s3))]
=[c9 c2 c7 c3];
That is, the pulse compression factor of the combined waveform s3s7s2s9 is a combination of s9 pulse compression factor, s2 pulse compression factor, s7 pulse compression factor, s3 pulse compression factor. The simulation results are shown in fig. 7, and it can be seen that the two are identical.
Because c3, c7, c2 and c9 are generated and pre-cached in the memory of the signal processing server in the initialization stage, the signal processing software can quickly obtain the correct pulse compression coefficient by only taking out 9/2/7/3 of the pulse compression coefficient index for recombination, and the real-time pulse compression processing is completed.
Fig. 8 is a pulse pressure result diagram of actual engineering, and by means of the pulse compression coefficient selection combination method, corresponding coefficients can be directly read and spliced from a memory, so that time delay caused by real-time calculation is reduced, and processing time is shortened. Meanwhile, the method is very flexible, when a new mode is added, a new waveform is added or various waveforms are combined, only corresponding signal waveform parameters are needed to be imported, a new pulse compression coefficient file is sent by the wave control subsystem at the beginning of each start of initialization, the new coefficient file is stored in signal processing, and extraction and splicing are carried out in the subsequent processing.
The conventional pulse compression mode needs to store the pulse compression coefficients of all waveforms in advance and select waveform numbers through hard-wired bit numbers, and neither the bit numbers nor the storage capacity can meet the pulse pressure requirement of pulse combination waveform agility. When a new waveform is added, only the waveform parameter database of the main control subsystem is required to be updated, and the main control subsystem automatically sends a new waveform sample to the DBF and signal processing for waveform real-time generation and basic pulse compression coefficient generation at the beginning of each start, and when radar echo is sent to the signal processing, the waveform combination number is contained in the header, and the signal processing generates the new pulse compression coefficient according to the combination number by real-time combination and splicing. The pulse combination waveforms are randomly selected from a plurality of groups of different waveforms to form a waveform agility, and the pulse combination waveform has good anti-interference effect. Because the waveform can be randomly selected, the corresponding pulse compression coefficient is also correspondingly changed, and the pulse compression coefficient can be effectively adjusted in real time by using the method.
The foregoing embodiments are merely for illustrating the technical solution of the present invention, but not for limiting the same, and although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those skilled in the art that modifications may be made to the technical solution described in the foregoing embodiments or equivalents may be substituted for parts of the technical features thereof, and that such modifications or substitutions do not depart from the spirit and scope of the technical solution of the embodiments of the present invention in essence.
Claims (6)
1. An intra-pulse combined agile waveform pulse compression method, comprising the steps of:
S1, in the design stage of a radar working mode, a plurality of basic waveform samples are imported and stored in a wave control subsystem database;
S2, in the radar initialization stage, the wave control subsystem numbers and sends various basic waveform sample numbers to the DBF subsystem and the signal processing subsystem for pre-caching, and the signal processing subsystem generates corresponding pulse compression coefficients according to the basic waveforms and stores the pulse compression coefficients in a server memory of the signal processing subsystem;
S3, in the radar transmitting stage, the wave control subsystem transmits the basic waveform number, the combination relation and various offset frequency parameters to the DBF subsystem, and the DBF subsystem generates an intra-pulse different frequency combination sub-pulse agile waveform according to the parameters transmitted by the wave control subsystem;
S4, in the radar receiving stage, the DBF subsystem firstly removes the offset frequency of the echo, then adds a header mark before echo data, and sends the echo data containing the header mark to the signal processing subsystem, and as the signal processing subsystem caches the pulse compression coefficient of the basic waveform in advance, the signal processing subsystem can obtain the correct pulse compression coefficient by inversely combining the basic pulse compression coefficient corresponding to the combined waveform according to the indication of the echo header, and the correct pulse pressure operation is completed;
when a new waveform is added, a waveform parameter database of the main control subsystem is updated, the main control subsystem automatically sends new waveform samples to the DBF and signal processing at the beginning of each start for waveform real-time generation and basic pulse compression coefficient generation, when radar echoes are sent to the signal processing, a waveform combination number is contained in a header, and the signal processing generates the new pulse compression coefficient according to the combination number by real-time combination and splicing.
2. The pulse compression method of claim 1, wherein the header tag includes a base waveform number and a combination relationship used by the signal.
3. A software radar system adopting the pulse compression method of the pulse combination agile waveform of any one of claims 1 to 2 is characterized by comprising a wave control subsystem, a DBF subsystem, a signal processing subsystem, a receiving and transmitting subsystem and an antenna, wherein the front end of the radar system comprises the receiving and transmitting subsystem and the antenna, the rear end of the radar system comprises the DBF subsystem, the wave control subsystem and the signal processing subsystem, the front end of the radar system transmits a specific waveform according to a control command of the rear end and receives an echo to be processed at the rear end, the wave control subsystem transmits the control command to the DBF subsystem and is interacted with the front end by the DBF subsystem, and meanwhile, the DBF subsystem transmits an echo signal transmitted by the front end to the signal processing subsystem for processing in a radar receiving period, and the signal processing subsystem communicates with a network of the wave control subsystem to transmit parameters and feedback information;
the wave control subsystem numbers and sends a plurality of basic waveform sample numbers to the DBF subsystem and the signal processing subsystem for pre-caching, and the signal processing subsystem generates corresponding pulse compression coefficients according to the basic waveform and stores the pulse compression coefficients in a server memory of the signal processing subsystem;
when a new waveform is added, a waveform parameter database of the main control subsystem is updated, the main control subsystem automatically sends new waveform samples to the DBF and signal processing at the beginning of each start for waveform real-time generation and basic pulse compression coefficient generation, when radar echoes are sent to the signal processing, a waveform combination number is contained in a header, and the signal processing generates the new pulse compression coefficient according to the combination number by real-time combination and splicing.
4. A software radar system according to claim 3, wherein the control commands are sent by the wave control subsystem to the DBF subsystem via optical fibers.
5. A software radar system according to claim 3, wherein the signal processing subsystem communicates with the wave control subsystem via ethernet.
6. A software radar system according to claim 3, wherein the DBF subsystem employs an FPGA and a high speed embedded CPU.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111305372.1A CN114019458B (en) | 2021-11-05 | 2021-11-05 | A pulse compression method for combined agile waveforms within a pulse and a software-based radar system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111305372.1A CN114019458B (en) | 2021-11-05 | 2021-11-05 | A pulse compression method for combined agile waveforms within a pulse and a software-based radar system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN114019458A CN114019458A (en) | 2022-02-08 |
| CN114019458B true CN114019458B (en) | 2024-12-03 |
Family
ID=80061710
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111305372.1A Active CN114019458B (en) | 2021-11-05 | 2021-11-05 | A pulse compression method for combined agile waveforms within a pulse and a software-based radar system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114019458B (en) |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108535701A (en) * | 2018-04-11 | 2018-09-14 | 南京大学 | A kind of method that out of band spectrum extension is reduced in radar-communication integration Waveform Design |
| CN112702064A (en) * | 2020-12-22 | 2021-04-23 | 成都汇蓉国科微系统技术有限公司 | Parameterized engineering implementation based on FPGA multi-waveform pulse compression algorithm |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7053814B2 (en) * | 2004-01-15 | 2006-05-30 | Hrl Laboratories, Llc | RF lightwave coding system for radar pulse compression |
| CN109884632A (en) * | 2019-02-21 | 2019-06-14 | 中国科学院电子学研究所 | A method, device and computer-readable storage medium for suppressing distance blurring |
-
2021
- 2021-11-05 CN CN202111305372.1A patent/CN114019458B/en active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108535701A (en) * | 2018-04-11 | 2018-09-14 | 南京大学 | A kind of method that out of band spectrum extension is reduced in radar-communication integration Waveform Design |
| CN112702064A (en) * | 2020-12-22 | 2021-04-23 | 成都汇蓉国科微系统技术有限公司 | Parameterized engineering implementation based on FPGA multi-waveform pulse compression algorithm |
Also Published As
| Publication number | Publication date |
|---|---|
| CN114019458A (en) | 2022-02-08 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN1667432B (en) | Weight function generating method, reference signal generating method, transmission signal generating apparatus, signal processing apparatus and antenna | |
| CN111090093A (en) | PD radar emission waveform configuration method and device based on FPGA | |
| CN112684419B (en) | Anti-intermittent sampling forwarding type interference processing method and system based on double LFM cancellation | |
| CN119247284B (en) | Electromagnetic interference suppression method for time domain periodic phase modulation | |
| CN116106900A (en) | Integrated signal design and processing method based on filter bank multi-carrier | |
| CN115219987B (en) | A method, device and apparatus for generating a pulse waveform based on a complementary Golay sequence | |
| CN114019458B (en) | A pulse compression method for combined agile waveforms within a pulse and a software-based radar system | |
| CN119001658B (en) | A matched filtering method for removing oblique echoes in linear and noisy composite FM radar | |
| CN105245268A (en) | Signal processor based on dual-channel frequency diversity technology and signal processing method thereof | |
| CN117055036A (en) | Target detection method and device based on dual-interstitium structure waveform sparse perception | |
| US8305262B1 (en) | Mismatched pulse compression of nonlinear FM signal | |
| CN106324589B (en) | A kind of measurement method of parameters and electronic equipment of mobile target | |
| CN109100687A (en) | A kind of radar equipment LFM pulse signal PSLR parameter determination method | |
| CN115561728A (en) | Single-frame speed deblurring method and device of FMCW radar | |
| CN113009430B (en) | FPGA implementation method and system of radar interference based on noise convolution | |
| CN117761637B (en) | Anti-interference time-frequency domain composite waveform anti-interference method and device based on matching | |
| CN111208477B (en) | Preprocessing method of multichannel radar signal | |
| CN115825884B (en) | FMCW radar interference detection and suppression method and system | |
| CN112034443B (en) | Radar detection blind area calculation method and device, storage medium and electronic equipment | |
| CN116736012A (en) | Vector signal generator supporting real-time pulse description word | |
| CN108363047A (en) | The four phase Code Doppler Compensation methods based on sliding window interpolation method | |
| Xu et al. | Phase coded waveform design for Sonar Sensor Network | |
| CN104965201A (en) | Radar velocity measurement technology | |
| CN115407283B (en) | A radar multipath interference suppression method and system based on waveform linkage | |
| CN120595242A (en) | Novel 8 false target independent towing system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |