A parallel processing method and system for sidelobe interference real-time detection and suppression

Abstract

The application provides a sidelobe interference real-time detection and suppression parallel processing method and system, relates to the field of airborne radar signal processing, and the method comprises the following steps: firstly, realizing multi-channel pulse compression processing in the ADBF mode in the range direction DSP, and sending the result to the azimuth direction DSP1; then, realizing DBF synthesis in the DBF mode and / or azimuth / tilt three-channel data; then, performing pulse compression processing on the three-channel data, and sending the result to the azimuth direction DSP2. After the range direction data is received by the azimuth direction DSP1 and DSP2, the two DSPs realize azimuth direction processing in the ADBF mode and the DBF mode in parallel, so that the technical problem that the radar system in the prior art must schedule multiple radar modes according to the radar frame beat to realize the anti-sidelobe interference function, and thus the radar anti-interference performance is weak is solved.

Description

Technical Field

[0001] This invention relates to the field of airborne radar signal processing, and in particular to a parallel processing method and system for real-time detection and suppression of sidelobe interference. Background Technology

[0002] Radar detection in jammed environments has become commonplace, placing higher demands on radar anti-jamming performance. Depending on the direction of interference entering the radar, it can be categorized into mainlobe self-defense and sidelobe interference. Adaptive Digital Beamforming (ADBF) technology is primarily used in sidelobe interference scenarios, achieving good suppression results. However, ADBF is ineffective against mainlobe self-defense interference, and joint time-frequency domain interference detection is impossible after ADBF processing, affecting interference detection performance. This necessitates that the radar system first schedules the radar frame processed by DBF for time-frequency domain interference detection, assessing the presence of interference and whether its direction of origin is a sidelobe. If sidelobe interference exists, the system controls and schedules the next radar frame for ADBF processing to suppress it.

[0003] However, the above-mentioned radar anti-jamming mode scheduling process has two main drawbacks: First, it reduces the resource scheduling efficiency of the radar system. DBF processing must be scheduled first for interference presence and direction of arrival detection, and then ADBF processing must be scheduled for anti-sidelobe interference processing. Second, both the radar carrier and the target jammer are in a high-speed maneuvering state, and the interference pattern changes rapidly. As a result, when the radar detects sidelobe interference in the current frame and takes anti-jamming measures, there is a high probability that the interference pattern of the jammer in the next frame will fail, resulting in the radar not achieving the expected benefits when suppressing sidelobe interference. Summary of the Invention

[0004] In view of this, the first aspect of the present invention provides a parallel processing method for real-time detection and suppression of sidelobe interference, to solve the technical problem in the prior art that radar systems must schedule multiple radar modes according to the radar frame cycle to achieve the anti-sidelobe interference function, resulting in weak radar anti-interference performance. The method includes:

[0005] The first digital signal processor receives multi-channel data packets sent by an external signal preprocessing module. The first digital signal processor is a range-oriented DSP.

[0006] The first digital signal processor performs multi-channel pulse compression processing on the multi-channel data packet in ADBF mode to obtain a first multi-channel data packet, and packages and sends the first multi-channel data packet to the second digital signal processor, the second digital signal processor being an azimuth DSP1;

[0007] Within a radar frame period, the first digital signal processor performs range data processing on the multi-channel data packet in DBF mode to obtain a range data-processed second multi-channel data packet, and packages and sends the second multi-channel data packet to the third digital signal processor, which is an azimuth DSP2.

[0008] The second digital signal processor performs azimuth data processing in ADBF mode on the first multi-channel data packet and outputs first detection information; the third digital signal processor performs azimuth data processing in DBF mode on the second multi-channel data packet and outputs second detection information.

[0009] The first detection information and the second detection information are fused to obtain fused detection information, and the fused detection information is sent to an external data processing module.

[0010] Furthermore, the first digital signal processor performs range data processing on the multi-channel data packets in DBF mode to obtain a range-processed second multi-channel data packet, including:

[0011] The first digital signal processor performs DBF synthesis processing on the multi-channel data packets in DBF mode to obtain azimuth channel data, azimuth channel data and elevation channel data;

[0012] The first digital signal processor performs multi-channel pulse compression processing on the sum channel data, azimuth channel data and pitch channel data in DBF mode to obtain the compressed sum channel data, azimuth channel data and pitch channel data;

[0013] The first digital signal processor packages the azimuth channel data before multi-channel pulse compression processing and the azimuth channel data after multi-channel pulse compression processing into a second multi-channel data packet, and sends the second multi-channel data packet to the third digital signal processor.

[0014] Furthermore, the second digital signal processor performs azimuth data processing in ADBF mode on the first multi-channel data packet, including: coherent accumulation, ADBF processing, target detection, frequency domain interference detection, and target post-processing.

[0015] Furthermore, the third digital signal processor performs azimuth data processing in DBF mode on the second multi-channel data packet, including: time-domain interference detection, coherent accumulation, target detection, frequency-domain interference detection, time-frequency domain interference fusion, and target post-processing.

[0016] Furthermore, information fusion is performed on the first detection information and the second detection information, including:

[0017] Based on the interference information in the second detection information, determine whether there is sidelobe interference. If there is, obtain the target information in the first detection information, and combine the target information in the first detection information and the interference information in the second detection information as the fused detection information.

[0018] If there is no sidelobe interference in the interference information in the second detection information, the target information and interference information in the second detection information are used as the fused detection information.

[0019] A second aspect of the present invention also provides a parallel processing system for real-time detection and suppression of sidelobe interference, comprising:

[0020] The data transmission module is used for the first digital signal processor to receive multi-channel data packets sent by the external signal preprocessing module, wherein the first digital signal processor is a distance-oriented DSP;

[0021] The pulse compression processing module is used to perform multi-channel pulse compression processing on the multi-channel data packet in ADBF mode by the first digital signal processor to obtain a first multi-channel data packet, and to package and send the first multi-channel data packet to the second digital signal processor, wherein the second digital signal processor is an azimuth DSP1.

[0022] The range data processing module is used to perform range data processing on the multi-channel data packet in DBF mode within one radar frame period, obtain the range data processed second multi-channel data packet, and package and send the second multi-channel data packet to the third digital signal processor, wherein the third digital signal processor is an azimuth DSP2.

[0023] The azimuth data processing module is used for the second digital signal processor to perform azimuth data processing in ADBF mode on the first multi-channel data packet and output first detection information; the third digital signal processor to perform azimuth data processing in DBF mode on the second multi-channel data packet and output second detection information.

[0024] The information fusion module is used to fuse the first detection information and the second detection information to obtain fused detection information, and send the fused detection information to the external data processing module.

[0025] Compared with the prior art, the beneficial effects that can be achieved by the above-mentioned at least one technical solution adopted in the embodiments of this specification include at least the following: By providing a parallel processing method for real-time detection and suppression of sidelobe interference, this application can realize the functions of time-frequency domain detection and suppression of self-defense sidelobe interference in parallel within one radar frame period, avoid the impact of sudden change in interference pattern in the next radar frame on the anti-interference effectiveness, and improve the real-time anti-interference performance of the radar; by realizing the anti-interference function of the radar within one radar frame period, the resource consumption of radar anti-sidelobe interference is reduced. Attached Figure Description

[0026] To more clearly illustrate the technical solutions of the embodiments of this application, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0027] Figure 1 This is a signal processing architecture topology diagram provided in an embodiment of the present invention;

[0028] Figure 2 This is a flowchart of distance processing and azimuth processing provided in an embodiment of the present invention;

[0029] Figure 3 This is a flowchart of the target interference result fusion logic provided in the embodiments of the present invention. Detailed Implementation

[0030] The embodiments of this application will now be described in detail with reference to the accompanying drawings.

[0031] The following specific examples illustrate the implementation of this application. Those skilled in the art can easily understand other advantages and effects of this application from the content disclosed in this specification. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of them. This application can also be implemented or applied through other different specific embodiments, and the details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of this application. It should be noted that, in the absence of conflict, the following embodiments and features in the embodiments can be combined with each other. Based on the embodiments in this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0032] This application provides a parallel processing method for real-time detection and suppression of sidelobe interference, achieving time-frequency domain detection of DBF mode self-defense sidelobe interference and ADBF mode sidelobe interference suppression in parallel within one radar frame period. First, multi-channel pulse compression processing in ADBF mode is implemented in the range DSP, and the result is sent to azimuth DSP1. Then, DBF synthesis and three-channel data (azimuth / elevation) in DBF mode are implemented. After pulse compression processing of the three-channel data, the result is sent to azimuth DSP2. After azimuth DSP1 and DSP2 have received the range data, the two DSPs perform azimuth processing in both ADBF and DBF modes in parallel, such as... Figure 1 As shown. This application realizes the function of parallel time-frequency domain detection and sidelobe interference suppression within one radar frame period, avoiding the impact of sudden changes in interference pattern in the next radar frame on anti-jamming effectiveness and improving the real-time anti-jamming performance of the radar; by realizing the radar's anti-jamming function within one radar frame period, the resource consumption of radar anti-sidelobe interference is reduced.

[0033] A radar frame period consists of multiple pulse repetition periods (PRI). The length of each pulse repetition period can be understood as the duration of pulse transmission and reception. Signal processing functions are described using the radar frame period as the object of analysis. Traditional radar frames have two independent processing modes: DBF mode and ADBF mode. A radar frame can only execute one mode to achieve its corresponding function. Current radar signal processing mainly consists of range processing and azimuth processing, implemented by different DSP processor chips. The radar alternates between DBF and ADBF modes. In DBF mode, range processing includes DBF synthesis and three-channel (azimuth / elevation) processing, as well as three-channel pulse compression. Azimuth processing includes time-domain interference detection, coherent accumulation, target detection, frequency-domain interference detection, time-frequency domain interference fusion, and target post-processing. In ADBF mode, range processing includes multi-channel pulse compression, while azimuth processing includes coherent accumulation, ADBF processing, target detection, frequency-domain interference detection, and target post-processing.

[0034] In this embodiment of the invention, a parallel processing method for real-time detection and suppression of sidelobe interference is provided, implementing two simultaneous processing modes within a radar frame: one is interference time-frequency domain detection in DBF mode, and the other is sidelobe interference suppression in ADBF mode. Figure 1 As shown, the method includes:

[0035] Step S100: The first digital signal processor receives a multi-channel data packet sent by an external signal preprocessing module. The first digital signal processor is a distance-oriented DSP.

[0036] Step S200: The first digital signal processor performs multi-channel pulse compression processing on the multi-channel data packet in ADBF mode to obtain a first multi-channel data packet, and packages and sends the first multi-channel data packet to the second digital signal processor, wherein the second digital signal processor is an azimuth DSP1;

[0037] Specifically, the multi-channel data packets sent to the signal preprocessing module of the DSP are first processed to complete the multi-channel pulse compression processing in ADBF mode, and the compressed multi-channel pulse data is packaged and sent to the directional DSP1 responsible for ADBF mode processing.

[0038] Step S300: Within one radar frame period, the first digital signal processor performs range data processing on the multi-channel data packet in DBF mode to obtain a second multi-channel data packet after range data processing, and packages and sends the second multi-channel data packet to the third digital signal processor, wherein the third digital signal processor is an azimuth DSP2;

[0039] Furthermore, the first digital signal processor performs range data processing on the multi-channel data packets in DBF mode to obtain a range-processed second multi-channel data packet, including:

[0040] The first digital signal processor performs DBF synthesis processing on the multi-channel data packets in DBF mode to obtain azimuth channel data, azimuth channel data and elevation channel data;

[0041] The first digital signal processor performs multi-channel pulse compression processing on the sum channel data, azimuth channel data and pitch channel data in DBF mode to obtain the compressed sum channel data, azimuth channel data and pitch channel data;

[0042] The first digital signal processor packages the azimuth channel data before multi-channel pulse compression processing and the azimuth channel data after multi-channel pulse compression processing into a second multi-channel data packet, and sends the second multi-channel data packet to the third digital signal processor.

[0043] Specifically, the first digital signal processor performs DBF synthesis processing in DBF mode, obtains the azimuth / elevation three-channel data respectively, and performs pulse compression processing to obtain the pulse-compressed azimuth / elevation three-channel data. Finally, the azimuth channel data before pulse compression and the pulse-compressed azimuth / elevation three-channel data are packaged and sent to the azimuth DSP2 responsible for DBF mode processing.

[0044] Step S400: The second digital signal processor performs azimuth data processing in ADBF mode on the first multi-channel data packet and outputs first detection information; the third digital signal processor performs azimuth data processing in DBF mode on the second multi-channel data packet and outputs second detection information.

[0045] Furthermore, the second digital signal processor performs azimuth data processing in ADBF mode on the first multi-channel data packet, including: coherent accumulation, ADBF processing, target detection, frequency domain interference detection, and target post-processing.

[0046] Furthermore, the third digital signal processor performs azimuth data processing in DBF mode on the second multi-channel data packet, including: time-domain interference detection, coherent accumulation, target detection, frequency-domain interference detection, time-frequency domain interference fusion, and target post-processing.

[0047] Specifically, azimuth DSP1 and DSP2 receive the corresponding packetized data sent by the range DSP, and synchronously start azimuth processing after receiving a frame of data. Azimuth DSP1 is responsible for azimuth processing in ADBF mode, including coherent accumulation, ADBF processing, target detection, frequency domain interference detection, and target post-processing; azimuth DSP2 is responsible for azimuth processing in DBF mode, including time domain interference detection, coherent accumulation, target detection, frequency domain interference detection, time-frequency domain interference fusion, and target post-processing. The azimuth processing results of the two DSPs are aggregated through the HyperLink interface, such as... Figure 2 As shown.

[0048] Step S500: The first detection information and the second detection information are fused to obtain the fused detection information, and the fused detection information is sent to the external data processing module.

[0049] Furthermore, step S500 also includes:

[0050] Step S510: Determine whether there is sidelobe interference based on the interference information in the second detection information. If there is, obtain the target information in the first detection information and combine the target information in the first detection information and the interference information in the second detection information as the fused detection information.

[0051] Step S520: If there is no sidelobe interference in the interference information in the second detection information, the target information and interference information in the second detection information are used as the fused detection information.

[0052] Specifically, target and interference detection information in DBF and ADBF modes is aggregated onto a single DSP. The main signal processing flow fuses target / interference information based on target and interference attributes. Both interference and target information are primarily based on DBF mode. Target information is primarily based on ADBF mode only when sidelobe interference is present. After aggregation, the target and interference detection results are sent to the data processing module. The specific fusion logic is as follows: Figure 3 As shown, frequency domain interference detection in ADBF mode detects the spectrum after interference suppression, while time domain interference detection, frequency domain interference detection, and time-frequency domain interference fusion in DBF mode detect the spectrum before interference suppression, resulting in more reliable interference detection results. This application can simultaneously implement time-frequency domain detection and sidelobe interference suppression for self-defense sidelobe interference within one radar frame period, avoiding the impact of sudden changes in interference patterns in the next radar frame on anti-jamming effectiveness and improving the radar's real-time anti-jamming performance.

[0053] Example 1

[0054] The range DSP serially implements range processing in ADBF and DBF modes, while the azimuth DSP1 and DSP2 send data. After the azimuth DSP1 and DSP2 have finished receiving the radar frame data packets, they start azimuth processing in ADBF and DBF modes in parallel. This embodiment uses 9-channel time-domain sampling data as an example, and implements it through the following steps:

[0055] (1) Main workflow of DSP for range-oriented processing:

[0056] Step 1: The DSP receives 9-channel time-domain sampled data S(n), n=0,1,...8 sent by the signal preprocessing module. First, it performs multi-channel pulse compression processing in ADBF mode to obtain 9-channel pulse-compressed data S′(n), n=0,1,...8. Then, the data S′(n), n=0,1,...8 is packaged and sent to DSP1, which is responsible for ADBF mode azimuth processing.

[0057] Step 2: First, perform DBF processing on the 9-channel time-domain sampled data S′(n), n=0,1,...8 to obtain 3 channels of time-domain data: sum channel Sum, azimuth difference channel Az, and pitch difference channel El. Perform pulse compression processing on the 3-channel data Sum, Az, and El to obtain the pulse-compressed data Sum′, Az′, and El′. Pack the 3-channel pulse-compressed data Sum′, Az′, and El′ with the sum channel time-domain data Sum and send it to DSP2, which is responsible for azimuth processing in the DBF mode.

[0058] (2) Main workflow of DSP1 for bitwise processing under ADBF mode:

[0059] Step 1: After receiving the 9-channel pulse compression data result S′(n), n=0,1,...8, perform coherent accumulation processing to generate a 9-channel complex power spectrum Power(n), n=0,1,...8. Then, perform ADBF processing to generate the sum power spectrum, azimuth power spectrum, elevation power spectrum SumAftADBF, AzAftADBF, and ElAftADBF. Perform target detection, frequency domain interference detection, and target post-processing on the sum power spectrum SumAftADBF respectively.

[0060] Step 2: The interference and target detection results received from DSP2 are merged and summarized with the results processed by this DSP. The logical flow is as follows: Figure 3 As shown, the summary results will be output to the next level data processing module.

[0061] (3) Main workflow of DSP2 for bitwise processing under DBF mode:

[0062] After receiving the pulse compression results Sum′, Az′, and El′ from the three channels and the time-domain data Sum from the sum channel, time-domain interference detection processing is performed to obtain the time-domain interference results. Then, coherent accumulation is performed to generate complex power spectrum data Sum_power, Az_power, and El_power. Target detection and frequency-domain interference detection are performed on the sum power spectrum data Sum_power. The time-domain and frequency-domain interference detection results are then fused. After target post-processing, the interference and target results are finally sent to DSP1.

[0063] The present invention achieves the following technical effects through the above embodiments:

[0064] 1. This application provides a parallel processing method for real-time detection and suppression of sidelobe interference. Within one radar frame period, it can realize the functions of time-frequency domain detection and suppression of self-defense sidelobe interference in parallel, avoid the impact of sudden changes in interference pattern in the next radar frame on the anti-interference effectiveness, and improve the real-time anti-interference performance of the radar.

[0065] 2. This application reduces the resource consumption for radar anti-sidelobe interference. The anti-interference function that previously required multiple radar frames can now be achieved within one radar frame period. Furthermore, the method and system provided in this application can be applied to the field of airborne radar.

[0066] The above description is merely a preferred embodiment of the present invention and is not intended to limit the invention. For those skilled in the art, various modifications and variations of the embodiments of the present invention are possible. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A parallel processing method for real-time detection and suppression of sidelobe interference, characterized in that, include: The first digital signal processor receives multi-channel data packets sent by an external signal preprocessing module. The first digital signal processor is a range-oriented DSP. The first digital signal processor performs multi-channel pulse compression processing on the multi-channel data packet in ADBF mode to obtain a first multi-channel data packet, and packages and sends the first multi-channel data packet to the second digital signal processor, the second digital signal processor being an azimuth DSP1; Within a radar frame period, the first digital signal processor performs range data processing on the multi-channel data packet in DBF mode to obtain a range data-processed second multi-channel data packet, and packages and sends the second multi-channel data packet to the third digital signal processor, which is an azimuth DSP2. The second digital signal processor performs azimuth data processing in ADBF mode on the first multi-channel data packet and outputs first detection information; the third digital signal processor performs azimuth data processing in DBF mode on the second multi-channel data packet and outputs second detection information. After the azimuth DSP1 and DSP2 have finished receiving the range data, the two DSPs perform azimuth processing in parallel under ADBF mode and DBF mode, realizing the function of self-defense sidelobe interference time-frequency domain detection and sidelobe interference suppression in parallel within one radar frame period. The first detection information and the second detection information are fused to obtain fused detection information, and the fused detection information is sent to an external data processing module.

2. The parallel processing method for real-time detection and suppression of sidelobe interference according to claim 1, characterized in that, The first digital signal processor performs range data processing on the multi-channel data packets in DBF mode to obtain a second multi-channel data packet, including: The first digital signal processor performs DBF synthesis processing on the multi-channel data packets in DBF mode to obtain azimuth channel data, azimuth channel data and elevation channel data; The first digital signal processor performs multi-channel pulse compression processing on the sum channel data, azimuth channel data and pitch channel data in DBF mode to obtain the compressed sum channel data, azimuth channel data and pitch channel data; The first digital signal processor packages the azimuth channel data before multi-channel pulse compression processing and the azimuth channel data after multi-channel pulse compression processing into a second multi-channel data packet, and sends the second multi-channel data packet to the third digital signal processor.

3. The parallel processing method for real-time detection and suppression of sidelobe interference according to claim 1, characterized in that, The second digital signal processor performs azimuth data processing in ADBF mode on the first multi-channel data packet, including: coherent accumulation, ADBF processing, target detection, frequency domain interference detection, and target post-processing.

4. The parallel processing method for real-time detection and suppression of sidelobe interference according to claim 1, characterized in that, The third digital signal processor performs azimuth data processing in DBF mode on the second multi-channel data packet, including: time-domain interference detection, coherent accumulation, target detection, frequency-domain interference detection, time-frequency domain interference fusion, and target post-processing.

5. The parallel processing method for real-time detection and suppression of sidelobe interference according to claim 1, characterized in that, Information fusion of the first detection information and the second detection information includes: Based on the interference information in the second detection information, determine whether there is sidelobe interference. If there is, obtain the target information in the first detection information, and combine the target information in the first detection information and the interference information in the second detection information as the fused detection information. If there is no sidelobe interference in the interference information in the second detection information, the target information and interference information in the second detection information are used as the fused detection information.

6. A parallel processing system for real-time detection and suppression of sidelobe interference, characterized in that, include: The data transmission module is used for the first digital signal processor to receive multi-channel data packets sent by the external signal preprocessing module. The first digital signal processor is a distance-oriented DSP. The pulse compression processing module is used to perform multi-channel pulse compression processing on the multi-channel data packet in ADBF mode by the first digital signal processor to obtain a first multi-channel data packet, and to package and send the first multi-channel data packet to the second digital signal processor, wherein the second digital signal processor is an azimuth DSP1. The range data processing module is used to perform range data processing on the multi-channel data packet in DBF mode within one radar frame period, obtain a second multi-channel data packet, and package and send the second multi-channel data packet to the third digital signal processor, wherein the third digital signal processor is an azimuth DSP2. The azimuth data processing module is used for the second digital signal processor to perform azimuth data processing in ADBF mode on the first multi-channel data packet and output first detection information; the third digital signal processor to perform azimuth data processing in DBF mode on the second multi-channel data packet and output second detection information. After the azimuth DSP1 and DSP2 have finished receiving the range data, the two DSPs perform azimuth processing in parallel under ADBF mode and DBF mode, realizing the function of self-defense sidelobe interference time-frequency domain detection and sidelobe interference suppression in parallel within one radar frame period. The information fusion module is used to fuse the first detection information and the second detection information to obtain fused detection information, and send the fused detection information to the external data processing module.

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