CN117008064A - Improved YOLOv 5-based radar interference adaptive suppression method - Google Patents
Improved YOLOv 5-based radar interference adaptive suppression method 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
- 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
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- G—PHYSICS
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- 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
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Abstract
The invention discloses an improved YOLOv 5-based radar interference self-adaptive suppression method, and belongs to the field of radar anti-interference. The method comprises the steps of firstly improving the output end of the YOLOv5 by adding a feature conversion module, then extracting and identifying the distance-Doppler distribution feature of a received signal by utilizing the improved YOLOv5, and judging the parameter interval of an interference signal in a distance-Doppler domain by an identification result; then, the interference parameters are accurately estimated by utilizing methods such as characteristic region searching, spectrum interpolation and the like; then, the estimated accurate parameters are used for designing a Doppler filter bank to implement interference suppression; and then constructing test statistics according to the suppression results, and judging whether to re-weight the filter by adopting a variance test method so as to complete self-adaptive suppression adjustment. Compared with the existing radar interference suppression algorithm, the method can simultaneously suppress two kinds of interference, namely smart noise and slice recombination (C & I), and effectively improves the radar target detection performance.
Description
Technical Field
The invention relates to the field of radar anti-interference, in particular to a radar interference self-adaptive suppression method, and particularly relates to a method for suppressing smart noise interference and C & I interference by an air defense early warning radar.
Background
Electronic warfare is an important form of electromagnetic space competition, and deception jamming based on digital radio frequency storage technology can generate false target signals highly coherent with target radar echo in a very short time, so that the detection performance of the radar is seriously affected. The smart noise and the C & I interference have the characteristics of deception interference and suppression interference, and the study on the smart noise interference suppression method is relatively less.
At present, the traditional strategies aiming at radar anti-interference at home and abroad are mainly divided into two main types of anti-interference in the aspect of radar system and anti-interference in the aspect of signal/data processing, and research on the aspect of signal processing is mainly focused on three main types of radar interference suppression based on multi-domain separation, radar interference suppression based on random theory and statistical characteristics and interference rejection by utilizing an information fusion technology.
Studies on radar interference suppression currently mainly have the following problems: radar interference suppression methods based on multi-domain separation will fail when the interference and target echo are highly correlated; the radar interference suppression method based on the random theory and the statistical characteristics has larger operation resource requirement; the radar interference suppression method based on the information fusion technology is sensitive to the signal to noise ratio, and when the signal to noise ratio is reduced, the performance of the radar interference suppression method is rapidly deteriorated.
Disclosure of Invention
Aiming at the problems, the invention aims to provide an improved YOLOv 5-based radar interference self-adaptive suppression method, which solves the problems that the existing smart noise interference and C & I interference are difficult to suppress and the dynamic interference is difficult to track, and can keep better performance at a lower signal-to-noise ratio.
The improved YOLOv 5-based radar interference self-adaptive suppression method provided by the invention comprises the following steps:
step 1: extracting and analyzing the range-Doppler distribution characteristics of radar received signals;
step 2: improving the output end of the YOLOv5 by adding a feature conversion module, carrying out interference identification on the extracted distance-Doppler feature by utilizing an improved YOLOv5 network, and carrying out rough estimation on interference parameters of the extracted distance-Doppler feature to obtain an approximate interval of the interference parameters;
step 3: carrying out characteristic region search and spectrum interpolation on the interference parameter interval extracted in the step 2 to accurately estimate so as to obtain parameters such as interference Doppler frequency, time shift and the like;
step 4: designing a Doppler filter bank by utilizing the interference parameters provided in the step 3, and inhibiting interference by using the filter bank;
step 5: constructing test statistics by using the received signals under the condition of no interference so as to judge whether the interference in the step 4 is completely suppressed;
step 6: outputting the processed echo signal if the interference is completely suppressed, and returning to the step 2 if the interference is not completely suppressed.
Compared with the prior art, the invention has the following advantages:
(1) According to the method, only the radar echo distance-Doppler spectrogram is extracted as the characteristic, so that the calculated amount of characteristic extraction is greatly reduced;
(2) The invention can identify the interference under the condition of lower signal-to-noise ratio, and the identification rate can reach more than 99% when the signal-to-noise ratio is not less than-8 dB;
(3) The invention can effectively inhibit smart noise interference and C & I interference;
(4) The invention can monitor and restrain the dynamic interference in a self-adaptive way;
(5) The present invention does not require prior information about the jammer.
Drawings
In order to more clearly demonstrate the technical solutions of the present invention, the following brief description will be given of the drawings required for the technical description of the present invention, it being evident that the drawings described below are only an example of the present invention, and that other drawings can be obtained according to these drawings without inventive labour for other persons skilled in the art.
FIG. 1 is a schematic overall flow chart of an embodiment of the present invention.
Fig. 2 is a diagram illustrating an example of the radar target echo time domain prior to filtering in accordance with the present invention.
Figure 3 is a graph illustrating an exemplary smart noise interference range-doppler spectrum in the present invention.
Figure 4 is a graph of an exemplary C & I interference range-doppler spectrum in the present invention.
FIG. 5 is a flow chart of the improved YOLOv5 detection of the present invention.
FIG. 6 is a schematic diagram of parameter estimation according to the present invention.
Figure 7 is a flow chart of the adaptive doppler filter of the present invention.
Fig. 8 is a flow chart of adaptive interference suppression in accordance with the present invention.
Figure 9 is a graph illustrating an exemplary range-doppler spectrum of an echo signal prior to interference suppression in accordance with the present invention.
FIG. 10 is a graph showing an exemplary amplitude-frequency response of a filter bank according to the present invention.
Figure 11 is a graph of an exemplary range-doppler spectrum after interference suppression in accordance with the present invention.
Figure 12 is a graph of an exemplary range-doppler spectrum for the present invention when interference is not fully suppressed.
Figure 13 is a graph of Doppler channel variance contrast for the present invention.
Figure 14 is a graph of an exemplary range-doppler spectrum after adaptive suppression in accordance with the present invention.
Detailed Description
The detailed description of the invention will be fully and clearly set forth below in connection with the exemplary drawings provided herein, but it should be understood that the described example is merely a simple example of the invention and is not representative of all embodiments, as other examples by those skilled in the art without inventive faculty are within the scope of the invention.
The embodiment of the invention provides a radar interference adaptive suppression method based on improved YOLOv5, which is used for radar interference identification and suppression, and comprises the following steps as shown in fig. 1.
Step 1: the range-doppler distribution characteristics of the radar received signal are extracted and analyzed, wherein an example of the echo time domain of the radar is shown in fig. 2, an example of the range-doppler spectrum of smart noise interference is shown in fig. 3, and an example of the C & I interference range-doppler spectrum is shown in fig. 4.
Step 2: the improved YOLOv5 output end is added by the feature conversion module, the improved YOLOv5 network is utilized to carry out interference identification on the extracted distance-Doppler feature and carry out rough estimation on the interference parameter, and the interference parameter rough interval is obtained. The detection flow is shown in fig. 5;
firstly, the position coordinates of an anchor frame (a pixel frame for prediction in a target detection task) and the coordinate conversion of a radar distance-Doppler spectrum are identified through YOLOv5 to carry out rough estimation analysis on parameters such as delay, doppler and the like of radar interference, so that a preliminary position range is obtained. The parameter estimation schematic diagram is shown in fig. 6, and the coordinate transformation equation is shown as follows;
；
；
in the method, in the process of the invention,and->YOLOv5 output anchor frame corresponding to Doppler domain coordinate axes respectivelyMaximum and minimum of positions, +.>And->Respectively, the maximum value and the minimum value of the position corresponding to the anchor frame of the identification result in the Doppler domain, and the +.>Which is the range of the entire doppler domain.
Step 3: and (3) carrying out characteristic region search and spectrum interpolation on the interference parameter interval extracted in the step (2) to accurately estimate so as to obtain the interference Doppler frequency.
Step 4: designing a Doppler filter bank by utilizing the interference parameters mentioned in the step 3;
(a) First, it is assumed that the interference signal covers the entire period of the filter frequency response, and then the dummy interference signal frequencies are set, respectively
；
(b) Then dummy interference power at each side lobeSetting to zero and adding the iteration number +.>Setting zero;
(c) Setting the attenuation of the side lobe region of the expected current filter and the attenuation of the interference region to be suppressed relative to the main lobe to be respectivelydB and->dB；
(d) Calculating an auto-covariance matrix of clutter signals by using vectors of dummy interference, noise and a slow time domain of interference to be suppressed:
；
in the method, in the process of the invention,is a unitary matrix->Is noise power +.>；
(e) Solving the frequency response of the filter in the whole Doppler frequency band according to the weight vector;
；
in the method, in the process of the invention,，/>，/>is a complex coefficient comprising amplitude, < >>For the desired signal Doppler frequency, < >>；
(f) According to the peak value of the main lobeObtaining the expected level value of the frequency response at the interference frequency to be suppressed and the side lobe according to the attenuation degree set in the step (7 c)>；
；
；
(g) And updating the power value of the dummy interference according to the difference value of the interference to be suppressed, the side lobe area frequency response and the real amplitude frequency response, so as to realize iterative updating of the filter weights.The power of each frequency point of the round iteration dummy interference is as follows:
；
in the method, in the process of the invention,is the main lobe area of the filter,>the other side lobe areas are the interference areas to be suppressed;
；
；
in the method, in the process of the invention,for iterative gain, ++>Is->Multiple iterations->A power value of the frequency point;
and then, the next iteration is carried out until the interference to be suppressed and the expected amplitude-frequency response of the side lobe area are the same as the actual amplitude-frequency response or the iteration times reach the upper limit.
Step 5: constructing test statistics by using the real part of the I/Q signal under the interference-free condition;
(8a) Firstly, constructing test statistics by using the real part of an I/Q signal under the interference-free condition, and constructing a sample set according to the distance-Doppler matrix after coherent accumulationWherein->Is the mth Doppler data set of the received signal after coherent accumulation under the interference-free condition +.>；
(8b) Then constructing test statisticsWherein->For the sample mean->Is a collectionIs a sample of (a);
(8c) Finally, constructing a discriminant criterion;
;
in this way, it is determined whether the interference in step 4 is completely suppressed, and the interference suppression flow chart is shown in fig. 8.
Step 6: outputting the processed echo signal if the interference is completely suppressed, and returning to the step 2 if the interference is not completely suppressed;
the simulation radar adopted in the example has the pulse width of 500 mu s, the pulse repetition frequency of 25000Hz, the carrier frequency of 3GHz, the sampling frequency of 20MHz, the signal bandwidth of 10MHz and the coherent accumulated echo number of 64. The real target speed is 300-700m/s, the distance is 10km-50km, and the amplitude of the echo signal is 1V. The Doppler frequency of C & I interference is 5-20KHz, the number of rectangular pulse trains is 4, the number of time slots of each section is 2, the type of smart noise convolution noise is Gaussian white noise, and the noise length is echo/20;
FIG. 9 is a range-Doppler spectrum of an echo signal with C & I interference and smart noise interference obtained in this simulation, and it can be seen that the target is submerged in the interference signal;
after the interference recognition and parameter estimation, a filter bank is designed, and the amplitude-frequency response of the filter bank is shown in fig. 10. The range-doppler spectrum of the signal after processing by the doppler filter bank is shown in fig. 11;
the result shows that both C & I interference and smart noise interference are effectively suppressed;
keeping the current filter coefficient unchanged, changing the interference parameter, and re-inhibiting;
as shown in fig. 12, the interference is not sufficiently effectively suppressed; and the doppler channel variance significantly exceeds the threshold, as shown in fig. 13; then, the process automatically goes to step 2 to carry out target recognition and parameter estimation again, and the final inhibition effect is shown in fig. 14.
In summary, it is only one embodiment of the present invention, and any changes or substitutions that may be easily contemplated by those skilled in the art should be included in the scope of the present invention. The specific scope of protection is therefore intended to be in accordance with the claims herein.
Claims (9)
1. The improved Yolov 5-based radar interference adaptive suppression method is characterized by comprising the following steps of:
step 1: extracting and analyzing the range-Doppler distribution characteristics of radar received signals;
step 2: improving the output end of the YOLOv5 by adding a feature conversion module, carrying out interference identification on the extracted distance-Doppler feature by utilizing an improved YOLOv5 network, and carrying out rough estimation on interference parameters of the extracted distance-Doppler feature to obtain an approximate interval of the interference parameters;
step 3: searching a characteristic region of the interference parameter interval extracted in the step 2, and precisely estimating by using a threshold and mean value function to obtain parameters such as interference Doppler frequency, time shift and the like;
step 4: designing a Doppler filter bank by utilizing the interference parameters provided in the step 3, storing the parameters of the filter bank, and inhibiting the interference by using the filter bank;
step 5: constructing test statistics by using the received signals under the condition of no interference so as to judge whether the interference in the step 4 is completely suppressed;
step 6: outputting the processed echo signal if the interference is completely suppressed, and returning to the step 2 if the interference is not completely suppressed.
2. The improved YOLOv 5-based radar interference adaptive suppression method of claim 1, wherein the received signal in step 1 is a random composite interference comprising smart noise interference and C & I (chopping and interleaving) interference. The smart noise interference time domain expression is:
；
in the method, in the process of the invention,for inverse Fourier transform ++>For fourier transformation of the transmitted signal +.>Is standard gaussian white noise;
the C & I interference expression is:
；
in the method, in the process of the invention,Bfor the bandwidth of the radar signal,for the frequency response function of the radar matched filter, < >>The expression is:
；
in the method, in the process of the invention,for sampling pulse width +.>For the pulse signal sampling period, < >>Is->Function (F)>As a function of the impact,for modulation factor->。
3. The improved YOLOv 5-based adaptive suppression method of radar interference according to claim 1, wherein the received signal in step 1 is composed of three parts, and the expression is:
；
in the method, in the process of the invention,for noise signals conforming to a gaussian distribution +.>Is a composite interference signal>Is the target echo signal.
4. The adaptive suppression method of radar interference based on improved YOLOv5 as claimed in claim 1, wherein in step 2, the feature conversion module is added to improve the output of YOLOv5, and the radar interference parameter (maximum valueAnd minimum->) A rough estimate is made. The YOLOv5 mainly comprises an input end, a backbone network of backbond, a Neck network and an output end; the feature transformation equation is:
；
；
in the method, in the process of the invention,and->Respectively the maximum value and the minimum value of the position of the output anchor frame of YOLOv5 corresponding to the Doppler domain coordinate axis,/and%>And->Respectively, the maximum value and the minimum value of the position corresponding to the anchor frame of the identification result in the Doppler domain, and the +.>Which is the range of the entire doppler domain.
5. The improved YOLOv 5-based adaptive suppression method of radar interference according to claim 1, wherein the advantage of YOLOv5 multi-target detection is utilized in step 2 to perform interference identification on pulse compression and coherent accumulated range-doppler characteristics.
6. The adaptive suppression method of radar interference based on improved YOLOv5 of claim 1, wherein in step 3, the characteristic region search and the spectrum interpolation are performed on the proposed interference parameter interval to perform accurate estimation, so as to obtain the interference doppler frequency.
7. The improved YOLOv 5-based radar interference adaptive suppression method of claim 1, wherein the step 4 is specifically:
(7a) First, it is assumed that the interference signal covers the entire period of the filter frequency response, and then the dummy interference signal frequencies are set, respectively
；
(7b) Then dummy interference power at each side lobeSetting to zero and adding the iteration number +.>Setting zero;
(7c) Setting the attenuation of the side lobe region of the expected current filter and the attenuation of the interference region to be suppressed relative to the main lobe to be respectivelydB and->dB；
(7d) Calculating an auto-covariance matrix of clutter signals by using vectors of dummy interference, noise and a slow time domain of interference to be suppressed:
；
in the method, in the process of the invention,is a unitary matrix->Is noise power +.>；
(7e) Solving the frequency response of the filter in the whole Doppler frequency band according to the weight vector;
；
in the method, in the process of the invention,，/>，/>is comprised of amplitudeComplex coefficients of>For the desired signal Doppler frequency, < >>；
(7f) According to the peak value of the main lobeObtaining the expected level value of the frequency response at the interference frequency to be suppressed and the side lobe according to the attenuation degree set in the step (7 c)>；
；
；
(7g) And updating the power value of the dummy interference according to the difference value of the interference to be suppressed, the side lobe area frequency response and the real amplitude frequency response, so as to realize iterative updating of the filter weights.The power of each frequency point of the round iteration dummy interference is as follows:
；
in the method, in the process of the invention,is the main lobe area of the filter,>for the interference region to be suppressed, the other is the side lobe region；
；
；
In the method, in the process of the invention,for iterative gain, ++>Is->Multiple iterations->A power value of the frequency point;
and then, the next iteration is carried out until the interference to be suppressed and the expected amplitude-frequency response of the side lobe area are the same as the actual amplitude-frequency response or the iteration times reach the upper limit.
8. The adaptive suppression method of radar interference based on improved YOLOv5 of claim 1, wherein in step 5, test statistics are constructed using the variance of the doppler channel of the echo in the absence of interference to determine whether the interference is completely suppressed. The step 5 specifically comprises the following steps:
(8a) Firstly, constructing test statistics by using the real part of an I/Q signal under the interference-free condition, and constructing a sample set according to the distance-Doppler matrix after coherent accumulationWherein->For receiving signal passing phase under interference-free conditionData set of mth Doppler after ginseng accumulation +.>；
(8b) Then constructing test statisticsWherein->For the sample mean->For the collection->Is a sample of (a);
(8c) Finally, constructing a discriminant criterion;
9. the adaptive suppression method for radar interference based on improved YOLOv5 of claim 1, wherein in step 6, the processing result is output if it is completely suppressed, and if it is not completely suppressed, the process returns to step 2 to perform interference recognition and interference parameter estimation again.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117714245A (en) * | 2024-02-06 | 2024-03-15 | 山东浪潮数据库技术有限公司 | Interference suppression system, method, equipment and medium in wireless ad hoc network system |
| CN117784040A (en) * | 2024-02-23 | 2024-03-29 | 中国人民解放军空军预警学院 | Time-frequency domain self-defense type composite interference resisting method |
| CN118519098A (en) * | 2024-07-09 | 2024-08-20 | 江苏常无通信技术有限公司 | Adaptive accurate sensing and restraining method for radar interference pulse |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117714245A (en) * | 2024-02-06 | 2024-03-15 | 山东浪潮数据库技术有限公司 | Interference suppression system, method, equipment and medium in wireless ad hoc network system |
| CN117714245B (en) * | 2024-02-06 | 2024-04-26 | 山东浪潮数据库技术有限公司 | Interference suppression system, method, equipment and medium in wireless ad hoc network system |
| CN117784040A (en) * | 2024-02-23 | 2024-03-29 | 中国人民解放军空军预警学院 | Time-frequency domain self-defense type composite interference resisting method |
| CN117784040B (en) * | 2024-02-23 | 2024-05-10 | 中国人民解放军空军预警学院 | Time-frequency domain self-defense type composite interference resisting method |
| CN118519098A (en) * | 2024-07-09 | 2024-08-20 | 江苏常无通信技术有限公司 | Adaptive accurate sensing and restraining method for radar interference pulse |
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