A signal generation method, system and storage medium to resist slice forwarding interference

Abstract

The present application discloses a signal generation method, system and storage medium for resistant slice forwarding interference. The method comprises: acquiring a target echo signal; the target echo signal comprises a slice forwarding interference signal; performing pulse detection on the target echo signal and extracting the slice forwarding interference signal; estimating characteristic parameters of the slice forwarding interference signal and constructing an interference characteristic vector; designing an anti-interference waveform according to the interference characteristic vector, and then generating a signal resistant to slice forwarding interference; wherein the anti-interference waveform is used to characterize a waveform orthogonal to the slice point of the jammer. The system comprises a first module, a second module, a third module and a fourth module. Through the above method, a signal resistant to slice forwarding interference can be generated, which is beneficial to improving the accuracy of radar detection and tracking of targets and improving anti-interference capability. The present method can be widely used in the field of signal processing technology.

Description

Technical Field

[0001] The present application relates to the field of signal processing technology, and in particular to a signal generation method, system and storage medium that are resistant to slice forwarding interference. Background Art

[0002] Currently, DRFM-based slice forwarding jamming has become the mainstream jamming method for current radars. Slice forwarding jamming can achieve effective deceptive jamming by copying and forwarding the transmitted waveform signal to form coherent gain in the radar processing process. Slice forwarding jamming causes conventional anti-jamming measures to fail, and causes the radar to make obvious misjudgments when detecting and tracking targets, affecting information acquisition. How to design the radar waveform so that it does not increase the requirements for the transmitting equipment and can effectively resist slice forwarding jamming has become an urgent problem to be solved. Summary of the invention

[0003] The purpose of this application is to solve one of the technical problems existing in the prior art to at least a certain extent.

[0004] To this end, an object of the present invention is to provide a signal generation method, system and storage medium that are efficient and resistant to slice forwarding interference.

[0005] In order to achieve the above technical objectives, the technical solutions adopted by the embodiments of the present application include:

[0006] On the one hand, an embodiment of the present application provides a signal generation method for resisting slice forwarding interference, comprising the following steps:

[0007] The signal generation method of the embodiment of the present application for resisting slice forwarding interference, the method includes: obtaining a target echo signal; the target echo signal includes a slice forwarding interference signal; performing pulse detection on the target echo signal to extract the slice forwarding interference signal; performing characteristic parameter estimation on the slice forwarding interference signal to construct an interference characteristic vector; designing an anti-interference waveform according to the interference characteristic vector, and then generating a signal resisting slice forwarding interference; wherein the anti-interference waveform is used to characterize a waveform orthogonal to the slice point of the jammer; by extracting the slice forwarding interference signal from the target echo signal, and by estimating the characteristic parameters, constructing an interference characteristic vector, and performing interference perception on the interference signal; by designing an anti-interference waveform, robust radar detection, tracking, and imaging processing are realized when the jammer does not switch the working parameters. Through the above method, a signal resisting slice forwarding interference can be generated, which is conducive to improving the accuracy of radar detection and tracking of targets and improving anti-interference capabilities.

[0008] In addition, the signal generation method for resisting slice forwarding interference according to the above embodiment of the present application may also have the following additional technical features:

[0009] Furthermore, in the signal generation method for resisting slice forwarding interference in the embodiment of the present application, the transmission signal is a linear frequency modulation signal, and the slice forwarding interference signal is a linear frequency modulation signal having the same frequency modulation slope as the transmission signal; the step of estimating characteristic parameters of the slice forwarding interference signal and constructing an interference characteristic vector includes:

[0010] Determine a reference signal according to the transmission signal; the reference signal and the transmission signal have the same frequency modulation slope;

[0011] Based on the reference signal, performing a delinear frequency modulation process on the slice forwarding interference signal to obtain a first signal;

[0012] An interference feature vector is constructed according to the first signal.

[0013] Further, in one embodiment of the present application, the interference feature vector includes the number of slices, the slice width and the slice position; the step of constructing the interference feature vector according to the first signal includes:

[0014] Performing Fourier transform processing on the first signal to determine a carrier frequency of a slice forwarding interference signal;

[0015] Determine a slice position and a slice time domain position according to the carrier frequency of the forwarded interference signal; wherein the slice position is used to characterize the starting position of the original transmitted signal corresponding to any slice;

[0016] Determine the number of slices according to the time domain position of the slices; wherein the number of slices is used to characterize the number of independent slices of the transmitted signal within a jammer's jamming pattern;

[0017] The interference signal is forwarded according to the slice, and a slice width is determined; the slice width is used to characterize the time domain width of an independent slice.

[0018] Furthermore, in one embodiment of the present application, the anti-interference waveform includes a detection signal and a spoofing signal; the step of designing the anti-interference waveform includes the following steps:

[0019] The position and width of the spoofing signal are determined according to the interference characteristic vector; wherein the spoofing signal comprises a single-frequency signal that is orthogonal to the detection signal in frequency.

[0020] Furthermore, in one embodiment of the present application, the step of designing an anti-interference waveform includes:

[0021] According to the particle swarm algorithm, an anti-interference waveform is designed.

[0022] Furthermore, in one embodiment of the present application, the anti-interference waveform includes a detection signal and a spoofing signal; the step of designing the anti-interference waveform according to the particle swarm algorithm includes:

[0023] The pulse width of the anti-interference waveform, the bandwidth of the detection signal and the carrier frequency of the deception signal are set as particle vectors;

[0024] Establishing constraint conditions based on the particle vector;

[0025] The weighted value between the root mean square error in the detection signal tracking process and the signal-to-interference ratio of the tracking detection result is set as the objective function;

[0026] The objective function is optimized by particles according to the particle vector and the constraint condition to obtain an anti-interference waveform.

[0027] Further, in one embodiment of the present application, the pulse detection of the target echo signal and the extraction of the slice forwarding interference signal include:

[0028] Based on bidirectional CFAR signal detection, the slice forwarding interference signal is extracted; the bidirectional CFAR is used to characterize CFAR detection from the front end and the back end of the signal.

[0029] On the other hand, an embodiment of the present application proposes a signal generation system for resisting slice forwarding interference, including:

[0030] The first module is used to obtain a target echo signal; the target echo signal includes a slice forwarding interference signal;

[0031] The second module is used to perform pulse detection on the target echo signal and extract the slice forwarding interference signal;

[0032] The third module is used to estimate the characteristic parameters of the slice forwarding interference signal and construct an interference feature vector;

[0033] The fourth module is used to design an anti-interference waveform according to the interference feature vector, and then generate a signal that is resistant to slicing forwarding interference; wherein the anti-interference waveform is used to characterize a waveform that is orthogonal to the slicing point of the jammer.

[0034] On the other hand, an embodiment of the present application provides a signal generating device for resisting slice forwarding interference, including:

[0035] at least one processor;

[0036] at least one memory for storing at least one program;

[0037] When the at least one program is executed by the at least one processor, the at least one processor implements any of the above-mentioned signal generation methods for resisting slice forwarding interference.

[0038] On the other hand, an embodiment of the present application provides a storage medium, which stores a program executable by a processor. When the program executable by the processor is executed by the processor, it is used to implement any of the above-mentioned signal generation methods for resisting slice forwarding interference.

[0039] The embodiment of the present application can generate a signal that is resistant to slice forwarding interference, which is beneficial to improving the accuracy of radar detection and tracking of targets and improving anti-interference capabilities. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following introduction is made to the drawings of the embodiments of the present application or the related technical solutions in the prior art. It should be understood that the drawings introduced below are only for the convenience of clearly describing some embodiments of the technical solutions of the present application. For technical personnel in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0041] Figure 1 A schematic diagram of a flow chart of an embodiment of a signal generation method for resisting slice forwarding interference provided by the present application;

[0042] Figure 2 A schematic diagram of a flow chart of another embodiment of a signal generation method for resisting slice forwarding interference provided by the present application;

[0043] Figure 3 Schematic diagram of an echo model with slice forwarding interference provided by this application;

[0044] Figure 4 A schematic diagram of the structure of the interference feature vector provided in this application;

[0045] Figure 5 A schematic diagram of the de-linear frequency modulation result provided by this application;

[0046] Figure 6 A schematic diagram of the tracking results after interference removal provided in this application;

[0047] Figure 7 Schematic diagram of the anti-interference waveform model provided for this application;

[0048] Figure 8 Schematic diagram of the anti-interference waveform optimization iterative process provided by this application;

[0049] Fig. 9 Schematic diagram of the particle swarm optimization algorithm provided for this application;

[0050] Fig.10 Schematic diagram of the particle swarm optimization process provided for this application;

[0051] Fig.11 A schematic diagram of target detection results of the anti-interference waveform provided in this application;

[0052] Fig.12 Schematic diagram of CFAR detection provided for this application;

[0053] Fig.13 A schematic diagram of bidirectional CFAR pulse detection provided for this application;

[0054] Fig.14 A schematic diagram of the slice forwarding interference extraction results provided in this application;

[0055] Fig.15 A schematic diagram of the complete flow chart of the signal generation method for resisting slice forwarding interference provided by the present application;

[0056] Fig.16 A schematic diagram of the structure of an embodiment of a signal generation system for resisting slice forwarding interference provided by the present application;

[0057] Fig.17 A structural schematic diagram of an embodiment of a signal generating device for resisting slice forwarding interference provided by the present application. DETAILED DESCRIPTION

[0058] Embodiments of the present application are described in detail below, and examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present application, and are not to be construed as limitations on the present application. For the step numbers in the following embodiments, they are only provided for the convenience of explanation, and the order between the steps is not limited in any way, and the execution order of each step in the embodiment can be adaptively adjusted according to the understanding of those skilled in the art.

[0059] First, the abbreviations of the related technologies proposed in this application are described:

[0060] Digital Radio Frequency Memory (DRFM); Constant False Alarm Rate (CFAR); Linear Frequency Modulation (LFM); Particle Swarm Optimization (PSO); Coherent Processing Interval (CPI); Root Mean Square Error (RMSE); Signal-to-Interference Ratio (SJR).

[0061] Radar has been widely used in target detection, tracking, imaging and other fields, bringing great convenience to human work and life. Based on certain uses of radar, the detected party will also devote itself to studying various radar jamming measures to destroy the radar or make it unable to work effectively in order to protect its own sensitive equipment and areas. Thanks to the development and application of Digital Radio Frequency Memory (DRFM), the current slice forwarding jamming based on DRFM has become the mainstream jamming method of current radar. Slice forwarding jamming can form coherent gain in the radar processing process by copying and forwarding the transmitted waveform signal, thereby achieving effective deceptive jamming. Compared with traditional aiming or suppression jamming, slice forwarding jamming has the advantages of low equipment requirements and obvious jamming effect. Slice forwarding jamming causes conventional anti-jamming means to fail, and causes radar to make obvious misjudgments when detecting and tracking targets, affecting the radar's acquisition of information. In order to improve its own anti-jamming ability and radar technology, the perception, recognition and countermeasure technology of slice forwarding jamming is an urgent problem to be solved.

[0062] In order to deal with the active deceptive interference faced by radar, many scholars have also conducted research on radar anti-interference technology. The commonly used radar anti-interference technologies are mainly:

[0063] 1) Ultra-low sidelobe antenna technology. By designing a radar antenna with low sidelobe, the interference echo power entering the radar from the sidelobe direction can be reduced to achieve the purpose of interference suppression;

[0064] 2) Sidelobe cancellation technology. Use the auxiliary antenna to collect interference signal samples during the radar's rest period, and then cancel the interference with the echo signal of the main antenna during the working period to achieve interference suppression;

[0065] 3) Adaptive interference nulling. In the process of digital beamforming, a "zero point" is formed in the interference direction, so that the gain in the interference direction is zero, and interference suppression is achieved through spatial filtering;

[0066] 4) Waveform agility technology: Suppress forwarding deception interference by transmitting different waveform signals at different times.

[0067] Since the slice forwarding jammer itself has a high peak transmission power and can form a coherent processing gain in the radar echo processing process, even if it enters the radar from the sidelobe of the ultra-low sidelobe antenna technology, it may still form corresponding interference in the radar signal processing process, affecting the radar's detection and judgment of the target; the sidelobe cancellation technology requires that the jammer continues to output interference to the radar when the radar is not working in order to collect interference samples, but the slice forwarding jammer will only conduct counterattacks when the radar is turned on, so this method is also difficult to deal with slice forwarding jammers; although adaptive interference zeroing obtains good anti-interference performance by zeroing the interference gain, this method requires the direction and position of the jammer to be known in advance, and has strict requirements on prior information, which is difficult to achieve in actual combat environments. In addition, the above three methods are all processing methods for sidelobe interference, and the interference entering from the main lobe cannot be effectively suppressed, so the above methods have serious defects in modern combat radar systems. Waveform agility technology avoids the impact of slice-forwarding interference signals by transmitting different waveform signals at different times and using different waveform signals for matched filtering detection. However, since the target interference pattern is unknown, this type of method has large requirements on the spatial range of waveform parameters. Good orthogonality needs to exist between each transmitted waveform to avoid the impact of coherent processing gain caused by the previous slice-forwarding interference. This poses a severe test for the radar's waveform design technology and transmitting equipment, and is difficult to be effectively applied in the increasingly complex battlefield electromagnetic environment.

[0068] The following describes in detail a signal generation method and system for resisting slice forwarding interference according to an embodiment of the present application with reference to the accompanying drawings. First, the signal generation method for resisting slice forwarding interference according to an embodiment of the present application will be described with reference to the accompanying drawings.

[0069] Reference Figure 1In an embodiment of the present application, a signal generation method for resisting slice forwarding interference is provided. The signal generation method for resisting slice forwarding interference in the embodiment of the present application can be applied to a terminal, or to a server, or can be software running in a terminal or a server, etc. The terminal can be a tablet computer, a laptop computer, a desktop computer, etc., but is not limited to this. The server can be an independent physical server, or a server cluster or a distributed system composed of multiple physical servers, or a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, CDN, and big data and artificial intelligence platforms. The signal generation method for resisting slice forwarding interference in the embodiment of the present application mainly includes the following steps:

[0070] S110: Acquire a target echo signal; the target echo signal includes a slice forwarding interference signal;

[0071] S120: performing pulse detection on the target echo signal to extract the slice forwarding interference signal;

[0072] S130: Estimating characteristic parameters of the slice forwarding interference signal and constructing an interference characteristic vector;

[0073] S140: Designing an anti-interference waveform according to the interference feature vector, and then generating a signal that is resistant to slicing forwarding interference; wherein the anti-interference waveform is used to characterize a waveform that is orthogonal to a slicing point of a jammer.

[0074] The embodiments provided in this application refer to Figure 1 As shown, firstly, according to the characteristic pattern of slice forwarding interference, the interference in the echo data is analyzed and extracted, and the interference pattern feature vector of the target jammer is constructed, and the interference is reconstructed and cancelled in the current frame to realize the radar's anti-interference detection, tracking, and imaging. Then, the subsequent radar transmission waveform is guided according to the interference characteristic pattern, and the optimal anti-interference waveform parameters are solved by the particle swarm optimization algorithm to form a long-term anti-interference waveform for the interference pattern, so as to realize robust radar detection, tracking, and imaging processing without switching the working parameters of the jammer. Therefore, the present application can establish a processing framework of "interference perception-waveform design", that is, interference perception and reconstruction cancellation, and active anti-interference strategy design, that is, Figure 2 Of course, the signal generation process of the above embodiment is an illustrative example. In some possible implementations, the optimal anti-interference waveform parameters can also be solved by a genetic algorithm, or by a simulated annealing algorithm. This application does not limit the specific optimization algorithm.

[0075] In some possible implementations, in the target detection and tracking process of the radar, in order to obtain a high-energy echo signal for subsequent target detection processing, a signal within a coherent processing interval (CPI) is usually taken for coherent accumulation processing to improve the signal-to-noise ratio of the echo signal and reduce the influence of clutter and interference. Therefore, only when the jammer superimposes slice forwarding interference on multiple frame echoes within a CPI time can effective interference be generated in the signal processing process, otherwise the interference will be effectively suppressed by the gain brought by the coherent accumulation. Based on the above processing assumptions, the received echo signal in this application defaults to the echo signal after coherent accumulation processing, and this technical method is mainly aimed at the interference perception and anti-interference processing of the slice forwarding interference signal that still cannot be suppressed after coherent accumulation.

[0076] Specifically, under the constant modulus assumption, the real radar echo should be a pulse that is approximately rectangular. However, when there is obvious slice forwarding interference in the echo signal, obvious high-energy narrow pulses will appear in the real echo signal, such as Figure 3 As shown. Moreover, according to the radar echo characteristics and the working principle of DRFM, the pulse width of the real radar target echo must be greater than or equal to the pulse width of the transmitted signal, while the pulse width of the slice forwarding interference must be much smaller than the pulse width of the transmitted signal waveform. Therefore, it can be known that the echo signal can be pulse detected and the interference can be perceived and judged by the pulse width. According to the above characteristics, the interference signal can be perceived by detecting the high-energy short pulses in each frame of echo data, and the parameters of the interference part of the signal can be estimated. The interference reconstruction is realized by the characteristic parameters of the interference signal, and then the interference signal is removed from the received echo by using the characteristics of coherent cancellation, so as to realize the accurate detection, tracking and imaging of the current frame. The interference suppression method of interference-aware reconstruction can effectively solve the impact of interference on the current frame. However, if this step is added to each frame in data processing, the complexity and computational complexity of the algorithm processing flow will be significantly increased. In order to more effectively suppress the impact of slice forwarding interference signals on radar detection, tracking and imaging, it is possible to consider adaptively adjusting the transmission waveform of subsequent frames according to the interference perception results to counter the interference of the jammer. This can not only achieve mainlobe anti-interference but also reduce the requirements of the waveform agile anti-interference method on the waveform parameter space. It has the advantages of accurate anti-interference and easy implementation.

[0077] Optionally, in the signal generation method for resisting slice forwarding interference in an embodiment of the present application, the transmitted signal is a linear frequency modulation signal, and the slice forwarding interference signal is a linear frequency modulation signal having the same frequency modulation slope as the transmitted signal; the step of estimating characteristic parameters of the slice forwarding interference signal and constructing an interference feature vector includes:

[0078] Determine a reference signal according to the transmission signal; the reference signal and the transmission signal have the same frequency modulation slope;

[0079] Based on the reference signal, performing a delinear frequency modulation process on the slice forwarding interference signal to obtain a first signal;

[0080] An interference feature vector is constructed according to the first signal.

[0081] Optionally, in an embodiment of the present application, the interference feature vector includes the number of slices, the slice width and the slice position; the step of constructing the interference feature vector according to the first signal includes:

[0082] Performing Fourier transform processing on the first signal to determine a carrier frequency of a slice forwarding interference signal;

[0083] Determine a slice position and a slice time domain position according to the carrier frequency of the forwarded interference signal; wherein the slice position is used to characterize the starting position of the original transmitted signal corresponding to any slice;

[0084] Determine the number of slices according to the time domain position of the slices; wherein the number of slices is used to characterize the number of independent slices of the transmitted signal within a jammer's jamming pattern;

[0085] The interference signal is forwarded according to the slice, and a slice width is determined; the slice width is used to characterize the time domain width of an independent slice.

[0086] Optionally, in one embodiment of the present application, the anti-interference waveform includes a detection signal and a spoofing signal; the step of designing the anti-interference waveform includes the following steps:

[0087] The position and width of the spoofing signal are determined according to the interference characteristic vector; wherein the spoofing signal comprises a single-frequency signal that is orthogonal to the detection signal in frequency.

[0088] It can be known that the known slice forwarding interference is formed by storing, modulating and forwarding the radar transmission waveform using DRFM, which means that the basic waveform modulation mode of the slice forwarding interference signal is the same as the radar transmission waveform. Exemplarily, taking the linear frequency modulation (LFM) signal commonly used in radar as an example, the modulation parameter estimation method of the slice forwarding interference is described, and the corresponding feature description vector is established according to the interference modulation parameter. When the transmission waveform is an LFM signal, the slice forwarding interference received in the echo must be an LFM signal with the same frequency modulation slope as the transmission waveform. At this time, the slice forwarding interference can obtain effective processing gain and form interference in the radar coherent accumulation and matched filtering process. Compared with the transmission waveform signal, the interference slice in the echo may have time shift and frequency shift modulation. The embodiment provided by the present application realizes the estimation and extraction of interference characteristic parameters by de-linear frequency modulation.

[0089] In some possible implementations, the characteristic parameter estimation method for any slice interference is as follows:

[0090] First, perform frequency domain parameter extraction. Assume that the mathematical expression of the radar transmission waveform signal is:

[0091]

[0092] Where A represents the signal amplitude, f c represents the carrier frequency of the transmitted signal, and γ represents the frequency modulation slope of the LFM signal.

[0093] If DRFM only delays the transmitted waveform, the slice forwarding interference signal in the echo can be expressed as:

[0094]

[0095] Where A′ represents the interference amplitude, f c ′ represents the slice position carrier frequency, and τ represents the slice forwarding delay of DRFM.

[0096] Furthermore, let k = t - τ, then equation (2) can be expressed as

[0097]

[0098] At this time, the slice interference and the transmitted waveform signal have similar mathematical expressions, and then use the reference signal with the same frequency modulation slope γ The interference in equation (3) is subjected to delinear frequency modulation processing, as shown in the following equation.

[0099] s0(k)=s(k)*s r (k) = A·exp(j2πfc ′k) (4)

[0100] In some possible implementations, the estimation process of the slice position is: From equation (4), it can be seen that after de-linear frequency modulation, the slice interference is modulated into a single-frequency signal, and the interference carrier frequency f can be solved by Fourier transform. c ′, and then estimate the slice position of DRFM by interfering with the carrier frequency. Assuming that the bandwidth of the transmitted waveform signal is B, the frequency domain activity range of the radar transmitted waveform signal can be expressed as According to the frequency axis Find the carrier frequency f of the chip interference c ′, and according to the LFM signal f = f0 + γt, where The time-frequency correspondence of the slice interference is solved to obtain the time domain position of the transmitted waveform signal

[0101] In some possible implementations, it is possible to establish Figure 4 The interference feature vector is shown in Figure 1, where the slice position refers to the starting position of any slice corresponding to the original transmission waveform, which determines the independence of multiple slice forwarding interference in the echo. The number of slices refers to the number of independent slices of the transmission waveform in one interference pattern of the jammer, which is determined by the slice time domain position T corresponding to the slice interference. s The slice width refers to the time domain width of the independent slice, which can be estimated by the subsequent formula (12); the slice frequency refers to the carrier frequency f corresponding to the independent slice interference. c ′, forwarding delay refers to the delay difference between the position where the independent slice interference first appears in the real echo and the slice position τ = E TOA -T s ,The slice period refers to the period delay between the ,interference signals forwarded by multiple slices at the same slice position in the ,echo., ,Among these feature vectors, the number of slices, slice width and slice position determine the ,design of the subsequent anti-interference waveform.

[0102] In some possible implementations, using Figure 2 The interference perception processing flow shown in the figure perceives and reconstructs the slice forwarding interference, and the interference simulation parameters and perception results are shown in Table 1. It can be seen from Table 1 that under the simulation conditions, the time domain parameter error is within 0.1, and the frequency parameter error is within 1MHz, indicating that the perception result of the slice forwarding interference signal by the algorithm of this technology has a very small error, and can realize the accurate perception and reconstruction of the characteristic parameters of the interference pattern of the current frame, ensuring the robustness of the interference elimination processing in the current frame echo and the construction of the waveform characteristics of the subsequent anti-interference strategy design. In addition, the result of de-linear frequency modulation is shown in Figure 5 (a) shows the interference suppression result. Figure 5(b) As shown in the experimental results, it can be seen that the intermediate frequency of the slice interference signal is estimated to be 15.37MHz. Compared with the intermediate frequency of 15MHz corresponding to the frequency band range of 10MHz to 20MHz of the real slice, its error is only 0.3MHz, which has a high estimation accuracy. Then the interference signal is reconstructed according to the pulse width and frequency modulation slope, and then the reconstructed signal is phase compensated with the real slice signal as a reference, and interference suppression is achieved through coherent subtraction. The results show that the interference is reduced by 8.30dB in the slice signal after suppression, which is of great significance for anti-interference in the process of signal detection, tracking and imaging.

[0103] Parameter name Simulation value Estimated value error Number of slices 1 1 0 Retweets 1 1 0 Slice start position 1μs 0.907μs 0.093μs Injection echo delay 2μs 1.97μs 0.03μs Slice width 1μs 1.093μs 0.093μs Slice IF 15MHz 15.37MHz 0.37MHz

[0104] Table 1

[0105] In some possible implementations, according to the processing flow of slice perception, reconstruction and cancellation, each frame of data in the radar target tracking process is detected (actually each CPI here), and finally a robust target tracking result is obtained. The tracking results before and after interference removal are as follows: Figure 6 As shown in (a), it can be seen that under the interference of the slice, the radar is guided by the false echo 150m away when tracking the target, resulting in wrong tracking and Figure 6 (b) also shows that the energy of the slice interference after pulse compression is slightly greater than the real target echo, and the false target covers the real target, achieving the purpose of interference. After using the "interference perception and reconstruction cancellation" processing method, the target tracking result is effectively corrected. Under the simulation condition without considering clutter and noise, there is no tracking error, which effectively suppresses the influence of slice interference. Figure 6 It can also be seen from the pulse pressure result of (b) that after interference suppression, the pulse pressure result is reduced by 14.28dB, which is slightly smaller than the -13dB threshold commonly used in radar target detection. This also shows that even if there is a certain amount of residual interference in the cancellation process, it will not affect the radar target detection. This method significantly improves the robustness of the radar detection and tracking process.

[0106] In some possible implementations, in order to enable the transmitted interference to obtain a good accumulation gain in the radar detection process, the jammer will try to keep the interference pattern unchanged for a period of time, thereby ensuring that the slice forwarding interference still maintains good interference performance after the echo is coherently accumulated. Based on this characteristic of the jammer, the embodiment of the present application proposes an anti-interference strategy method for slice forwarding interference, that is, by designing an active anti-interference waveform corresponding to the slice forwarding interference pattern to achieve anti-interference within a certain period of time, while also avoiding the process of interference perception processing for each frame of echo signal, thereby ensuring the robustness of the subsequent radar tracking and detection process. Exemplarily, the anti-interference strategy in the present application is mainly achieved by designing an orthogonal deception signal, and its signal model can be expressed by Figure 7 Description. It can be known that the active anti-interference waveform is composed of the real detection signal and the orthogonal deception signal in the time domain, and anti-interference is achieved by intermittently modulating the radar transmitter to transmit different waveform signals in time. The real detection signal is a radar detection waveform with a large time-width-bandwidth product, and the orthogonal deception signal generally selects a single-frequency signal that is orthogonal to the detection waveform in frequency. The position and width of the deception signal are determined by the interference feature vector.

[0107] Specifically, in the process of anti-interference waveform design, its main purpose is to design the corresponding orthogonal waveform for the slicing point of the jammer. For the own side, the key points of the waveform design come from the interference feature vector formed by the perception result of the slice forwarding interference. Among them, the number of slices, slice width and slice position determine the initial slice content of the jammer. The anti-interference waveform designed according to these three characteristics can achieve effective anti-interference without considering the repeated interference modulation (slice delay, period, etc.) of the jammer.

[0108] Optionally, in one embodiment of the present application, the step of designing an anti-interference waveform includes:

[0109] According to the particle swarm algorithm, an anti-interference waveform is designed.

[0110] Optionally, in one embodiment of the present application, the anti-interference waveform includes a detection signal and a spoofing signal; the step of designing the anti-interference waveform according to the particle swarm algorithm includes:

[0111] The pulse width of the anti-interference waveform, the bandwidth of the detection signal and the carrier frequency of the deception signal are set as particle vectors;

[0112] Establishing constraint conditions based on the particle vector;

[0113] The weighted value between the root mean square error in the detection signal tracking process and the signal-to-interference ratio of the tracking detection result is set as the objective function;

[0114] The objective function is optimized by particles according to the particle vector and the constraint condition to obtain an anti-interference waveform.

[0115] In some possible implementations, radar resources are limited during the waveform design process, and waveform parameters cannot be increased indefinitely. Since the anti-interference waveform adds an orthogonal deception signal module, the pulse width, bandwidth and other time-frequency domain parameter designs of the real detection waveform will inevitably be subject to certain restrictions. How to obtain the waveform with the best anti-interference performance within a certain resource range has become the main problem of the anti-interference strategy design. In order to qualitatively describe the performance of the designed anti-interference waveform, illustratively, the embodiment of the present application describes the anti-interference performance of the waveform by taking the root mean square error (RMSE) of the target detection result of the waveform under interference conditions and the signal-to-interference ratio (SJR) of the waveform as influencing factors. In the anti-interference waveform design process, the smaller the RMSE, the better the performance, and the larger the SJR, the better the performance. The specific design of active anti-interference waveform parameters is shown in Table 2. Considering the limitation of radar resources, in the waveform design process, the signal pulse repetition time is set to be unchanged, the maximum pulse duty cycle is 30%, the maximum upper limit of the time-bandwidth product TBP is set to be 3000 (unit: us×MHz), the starting frequency of the detection signal pulse is 0MHz, the total energy of the signal transmission is unchanged, and the peak power of the transmission signal is determined by the total energy and the total pulse width. The number of orthogonal signals used for deception is determined by the number of slices, the width of the deception signal is determined by the slice width, the starting position of the deception signal is determined by the slice position, and the carrier frequency of the deception signal and the frequency band of the transmission signal waveform maintain an orthogonal relationship.

[0116] Parameter name Parameter value (range) Number of spoofed signals Number of slices Spoof signal duration Slice width Spoofing signal location Slice location Detection signal duration ≤30% PRT Detection signal bandwidth ≤80%Fs / 2 Spoof signal carrier frequency ≤Fs / 2 Transmit signal peak power Signal energy / total pulse width of transmitted signal

[0117] Table 2

[0118] In some possible implementations, under the constraints of the waveform design parameter value range in Table 2, the detection signal time width Tp, the detection signal bandwidth B and the spoof signal carrier frequency Fc are used as independent variables of the waveform design, and the root mean square error (RMSE) in the detection signal tracking process and the signal-to-interference ratio (SJR) of the tracking detection result are taken as the waveform anti-interference performance evaluation criteria. The waveform optimization design process is as follows: Figure 8 shown.

[0119] In some possible implementations, although Table 2 gives the value space range of parameter values ​​in the waveform design process, in the current digital radar system, there may be tens of thousands of possible combinations of multidimensional parameters within a very small value range. If the anti-interference waveform performance under each combination is traversed and calculated to solve the optimal waveform design, then the calculation burden brought by this process is very large. In order to quickly solve the optimal parameter design under the radar constrained waveform parameter space, the embodiment of the present application adopts a particle swarm optimization algorithm for solution. The particle swarm optimization algorithm is an optimization search algorithm developed by simulating the foraging behavior of birds. The algorithm schematic diagram is shown in FIG. Fig. 9 By arranging random particle swarms in a large parameter space, the optimal particle solution in the space is found through the movement of the particle swarm with memory and the information sharing between the groups, and then the optimal solution is achieved. The particle swarm optimization algorithm does not require training samples and prior information and is simple and easy to implement. It is very suitable for the radar anti-interference waveform parameter design process that requires a fast solution to the optimal result. The basic process of the algorithm is as follows Fig.10 shown.

[0120] In some possible implementations, constrained particle swarm optimization is used to design the anti-interference waveform, and a waveform pulse width T is established. p , detection signal bandwidth B and spoof signal carrier frequency F c The particle vector of the three-dimensional characteristic parameters and the constraints are established as follows: Condition 1: T p ×B≤TBP max , Condition 2: F c ≥f end , (f end Indicates the cutoff frequency of the transmitted waveform signal. Since the detection start of the transmitted signal is set to 0 frequency, condition 2 can also be expressed as F c ≥B). The objective function is set to the weighted value of RMSE and SJR of the waveform signal, where RMSE is always greater than or equal to 0 and the closer it is to 0, the better the performance is, and the larger the SJR is, the better the performance is. In order to make the smaller the objective function is, the better the waveform performance is, the objective function can be expressed as f=w1·RMSE-w2·SJR, where the weight w1=w2=0.5. It can be understood by those skilled in the art that the above is an exemplary example, and the specific optimization process can be carried out by other machine learning methods.

[0121] In some possible implementations, simulation experiments are used to illustrate the effectiveness of the above technical methods. First, simulation signal waveforms and target motion parameters are constructed, as shown in Table 3.

[0122] Parameter name Parameter Value Signal sampling rate 300MHz Pulse repetition time 100μs Pulse Width 10μs Start frequency 0MHz Pulse bandwidth 100MHz Waveform modulation type LFM Target initial distance 10km Target flight speed 300m / s Target flight acceleration 0m / s2 Radar observation time 0.05s

[0123] Table 3

[0124] Construct the interference characteristic parameters shown in Table 4, and implement interference on the echo signal in Table 3 to achieve distance deception, causing the radar to fail to track the real target. From the parameters in the table, it can be seen that the slice position is at 1μs, and the delay of the interference relative to the echo is 2μs, so a false target will be formed at the position of 1μs delay. It can be seen that the false target will appear 150m away from the real target.

[0125] Parameter name Parameter Value Interference Type Direct forwarding interference Number of slices 1 Retweets 1 Slice start position 1μs Slice width 1μs Injection echo delay 2μs Interference echo energy ratio 10

[0126] Table 4

[0127] Specifically, the waveform parameter particle optimization space is constructed according to Table 2 and Table 3. The number of particle swarms is set to 50, the number of iterations is 5, the maximum TBP is 3000, and the waveform parameter obtained by the final optimization result is the emission pulse width T p =23.52μs, detection signal bandwidth B = 119.60MHz, spoof signal carrier frequency F c =128.81MHz, the RMSE of the waveform tracking result finally solved is 0.1458m, the maximum signal-to-interference ratio SJR is 29.37dB, and the designed signal waveform time-frequency diagram is as follows Fig.11 As shown in (a), the target detection result of the anti-interference waveform is as follows Fig.11 (b). Fig.11 From the anti-interference waveform, it can be seen from the pulse pressure results that the real echo signal affected by the interference generates a false detection peak at the non-target position, and the jammer effectively deceives the radar. However, after interference perception and reconstruction cancellation processing, the pulse pressure result at the interference position is suppressed by about 14 dB, which has achieved effective interference suppression. However, in order to more effectively resist interference for a long time, the technical method designs a targeted active anti-interference waveform according to the interference pattern. It can be seen from the pulse pressure detection results that the anti-interference waveform designed by the technical method forms an obvious notch at the interference target position, and its interference suppression effect is much better than that of the reconstruction cancellation method, which completely suppresses the influence of slice forwarding interference on radar target detection and tracking, proving that the method has good application value and significance in actual radar systems.

[0128] Optionally, in an embodiment of the present application, the performing pulse detection on the target echo signal to extract the slice forwarding interference signal includes:

[0129] Based on bidirectional CFAR signal detection, the slice forwarding interference signal is extracted; the bidirectional CFAR is used to characterize CFAR detection from the front end and the back end of the signal.

[0130] In some possible implementations, CFAR is an effective pulse detection method. Conventional CFAR detection mainly estimates the noise level near the detection unit, sets the signal detection threshold according to the noise level estimate, and then compares the detection threshold with the signal level in the detection unit to determine whether there is a pulse signal. According to the mechanism of CFAR detection, the detection threshold of this signal detection method changes with the position of the processed signal, and the detection threshold of the signal is determined by the signal level of the surrounding units. This proves that CFAR detection is sensitive to signal mutations and is very suitable for accurate detection of signal pulse edges. Fig.12 As shown in Figure 1, the sliding window of CFAR detection includes: detection unit, protection unit and reference unit. Only the reference unit is involved in the threshold calculation of the detection unit. The function of the protection unit is to prevent the target point from appearing in the reference unit, otherwise the detection threshold will be excessively raised. CFAR detection estimates the sample data in the reference unit and sets the detection decision threshold to determine whether there is a target in the detection unit. The detection decision threshold D th It can be expressed as:

[0131] D th =a·X (5)

[0132] Where a is the threshold coefficient of CFAR detection, and X is the sample mean in the reference unit.

[0133] Assume that the false alarm rate is P fa , the number of reference units is M, then:

[0134]

[0135]

[0136] Among them, x i is the sample value at time i in the reference unit.

[0137] Substituting equations (6) and (7) into equation (5), we can obtain the constant false alarm threshold T of the detection unit:

[0138]

[0139] The detection decision threshold D obtained by formula (8) th The pulse edge detection based on CFAR can effectively obtain the starting position of the pulse edge. Compared with the fixed threshold detection in the traditional energy detection method, it has more flexible characteristics and has certain adaptability to different data.

[0140] In some possible implementations, since the accumulated pulse envelope has a certain width and there are obvious front and rear pulse edges of the signal, forward CFAR and backward CFAR can be used to detect from the front and rear ends of the signal data respectively, and the detection values ​​of the rising edge and falling edge of the pulse signal can be obtained respectively through two CFAR operations, such as Fig.13 As shown. Theoretically, when the detection unit amplitude in CFAR is greater than the detection threshold T, it can be considered that the pulse edge of the signal has appeared. However, since the signal itself is in a low signal-to-noise ratio environment, the accumulated data cannot completely eliminate the influence of noise. The sudden jump noise will suddenly cross the threshold and cause the wrong estimation of the signal pulse edge. Therefore, the part that exceeds the detection threshold needs to be further judged to eliminate the influence of noise.

[0141] It can be known that the biggest difference between the pulse signal leading and trailing edges causing the detection threshold to be exceeded and the noise jump causing the detection threshold to be exceeded is that the pulse edge of the signal is continuously rising or falling, while the noise jump is only in a split second. Therefore, the weak signal accumulation judgment criterion can be introduced on the basis of the above detection, that is, when the detection unit exceeds the detection threshold for consecutive times, it is considered that the pulse edge of the signal is successfully detected. In the process of signal detection, each detection can be regarded as independent of each other. According to the knowledge of probability theory, the probability of a false alarm occurring for l consecutive times can be expressed as:

[0142]

[0143] Because the false alarm rate P fa ∈(0,1), after l times of cumulative multiplication, the false alarm joint probability will be very close to zero, which can be considered an impossible event. Therefore, when the detection unit exceeds the detection threshold l times in a row, it is considered that the pulse edge of the signal is successfully detected, and the first point in these l detection units is marked as the starting point p of the pulse edge of the signal s .

[0144] Furthermore, for the estimation of TOA and PW of pulse signals, the rising edge and falling edge of the pulse must be determined to obtain the correct estimation parameters, while the CFAR detection and weak signal accumulation judgment criteria can only detect the pulse edge of the signal, but cannot determine whether it is the rising edge or the falling edge of the signal. s The first-order difference of the data segment that has crossed the threshold for l consecutive times is used as the decision threshold to judge the pulse edge of the signal. The threshold expression is:

[0145]

[0146] Among them, F(t i ) indicates t i The data amplitude value at the moment.

[0147] Specifically, for the pulse rising edge, its signal amplitude generally rises, and the sum of the first-order differences must be greater than 0; similarly, the sum of the first-order differences of the pulse falling edge must be less than 0. By judging the positive and negative of the threshold J th it is possible to obtain whether the detected edge is a rising edge or a falling edge, and only the rising edge detection result of the forward CFAR and the falling edge detection result of the backward CFAR are taken. Compared with the sudden jump noise that instantaneously crosses the threshold, since the pulse always appears in the form of a pair of pulse edges due to its obvious pulse width, the embodiment of the present application determines the position of the pulse signal based on the simultaneous detection of both the rising edge and the falling edge of the pulse, further suppressing the influence of the sudden jump noise in the pulse edge detection and improving the robustness of signal detection and characteristic parameter estimation.

[0148] The sampling points of the pulse rising edge and falling edge detected based on the above criteria are respectively denoted as T toa and T toe . If the sampling rate of the signal is F s , then the estimated values of the pulse arrival time and pulse width of the signal can be expressed as:

[0149]

[0150]

[0151] It can be known from the characteristics of the slice-and-forward jammer itself that the pulse width of the jammer signal is much smaller than that of the radar transmitted signal, and when the radar illuminates a non-point target, the pulse width of its echo signal will be broadened to a certain extent relative to the transmitted signal. Considering the above factors, the present invention sets a reference coefficient r, and obtains the pulse width decision threshold t ref of the slice-and-forward jammer signal according to the reference pulse width t th of the radar transmitted signal waveform.

[0152] t th = r·t ref (13)

[0153] Taking the reference coefficient 0 < r < 1 according to the actual application requirements, when the pulse width pw i of the detected pulse i is < t th , it indicates that the pulse satisfies the characteristics of the slice-and-forward jammer signal and is determined to be a slice-and-forward jammer. Using the above technical method to detect the jammer in the echo signal with slice-and-forward jamming, the detection result is as Fig.14As shown in the figure, the real echo signal in the point target echo has a constant modulus envelope feature that is approximately rectangular, while the slice forwarding interference superposition in the echo appears as a high-energy narrow pulse. The pulse detection method based on bidirectional CFAR judgment will only make a judgment when a pair of pulse leading and trailing edges are detected. Therefore, the detection of the interference pulse is not affected by the leading and trailing edges of the real echo pulse, which effectively ensures the robustness of the slice forwarding interference detection.

[0154] In summary, referring to Fig.15 The signal generation method proposed in this application can perform parameter feature analysis and parameter estimation on the radar echo according to the working characteristics and echo characteristics of slice forwarding interference, realize interference perception and interference feature parameter extraction, and then design a deception interference signal model according to the interference style of the enemy jammer, and realize the optimal design of anti-interference waveform parameters through the particle swarm optimization algorithm, and finally form an anti-slice forwarding interference waveform with active deception, which is used to guide the subsequent radar to transmit waveform signals and realize anti-interference in the process of radar detection, tracking and imaging.

[0155] Secondly, refer to the attached Fig.16 A signal generation system for resisting slice forwarding interference proposed according to an embodiment of the present application is described.

[0156] Fig.16 : is a schematic diagram of the structure of a signal generation system for resisting slice forwarding interference according to an embodiment of the present application, and the system specifically includes:

[0157] The first module 1610 is used to obtain a target echo signal; the target echo signal includes a slice forwarding interference signal;

[0158] The second module 1620 is used to perform pulse detection on the target echo signal and extract the slice forwarding interference signal;

[0159] The third module 1630 is used to estimate characteristic parameters of the slice forwarding interference signal and construct an interference characteristic vector;

[0160] The fourth module 1640 is used to design an anti-interference waveform according to the interference feature vector, and then generate a signal that is resistant to slicing forwarding interference; wherein the anti-interference waveform is used to characterize a waveform that is orthogonal to the slicing point of the jammer.

[0161] It can be seen that the contents of the above method embodiments are all applicable to the present system embodiments, the functions specifically implemented by the present system embodiments are the same as those of the above method embodiments, and the beneficial effects achieved are also the same as those achieved by the above method embodiments.

[0162] Reference Fig.17 , an embodiment of the present application provides a signal generating device for resisting slice forwarding interference, including:

[0163] at least one processor 1710;

[0164] At least one memory 1720, used to store at least one program;

[0165] When the at least one program is executed by the at least one processor 1710, the at least one processor 1710 implements the signal generation method for resisting slice forwarding interference.

[0166] Similarly, the contents of the above method embodiments are all applicable to the present device embodiments. The functions specifically implemented by the present device embodiments are the same as those of the above method embodiments, and the beneficial effects achieved are also the same as those achieved by the above method embodiments.

[0167] An embodiment of the present application further provides a computer-readable storage medium, which stores a program executable by a processor 1710. When the program executable by the processor 1710 is executed by the processor 1710, it is used to execute the above-mentioned signal generation method for resisting slice forwarding interference.

[0168] Similarly, the contents of the above method embodiments are all applicable to the present storage medium embodiments. The functions specifically implemented by the present storage medium embodiments are the same as those of the above method embodiments, and the beneficial effects achieved are also the same as those achieved by the above method embodiments.

[0169] In some optional embodiments, the function / operation mentioned in the block diagram may not occur in the order mentioned in the operation diagram. For example, depending on the function / operation involved, the two boxes shown in succession can actually be executed substantially simultaneously or the boxes can sometimes be executed in reverse order. In addition, the embodiment presented and described in the flow chart of the application is provided by way of example, for the purpose of providing a more comprehensive understanding of technology. The disclosed method is not limited to the operation and logic flow presented herein. Optional embodiments are expected, wherein the order of various operations is changed and the sub-operation described as a part of a larger operation is performed independently.

[0170] In addition, although the present application is described in the context of functional modules, it should be understood that, unless otherwise specified, one or more of the functions and / or features can be integrated into a single physical device and / or software module, or one or more functions and / or features can be implemented in a separate physical device or software module. It is also understood that a detailed discussion of the actual implementation of each module is unnecessary for understanding the present application. More specifically, in view of the properties, functions, and internal relationships of the various functional modules in the device disclosed herein, the actual implementation of the module will be understood within the conventional techniques of the engineer. Therefore, those skilled in the art can implement the present application set forth in the claims without excessive experimentation using ordinary techniques. It is also understood that the specific concepts disclosed are merely illustrative and are not intended to limit the scope of the present application, which is determined by the full scope of the attached claims and their equivalents.

[0171] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application can be essentially or partly embodied in the form of a software product that contributes to the prior art. The computer software product is stored in a storage medium, including several programs to enable a computer device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the methods described in each embodiment of the present application. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0172] The logic and / or steps represented in the flowchart or otherwise described herein, for example, may be considered as an ordered list of executable programs for implementing the logical functions, and may be embodied in any computer-readable medium for use by a program execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch and execute a program from a program execution system, device or apparatus), or in conjunction with such program execution systems, devices or apparatuses. For purposes of this specification, a "computer-readable medium" may be any device that can contain, store, communicate, propagate or transmit a program for use by a program execution system, device or apparatus, or in conjunction with such program execution systems, devices or apparatuses.

[0173] More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic device), a portable computer disk case (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be a paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, deciphering or, if necessary, processing in another suitable manner, and then stored in a computer memory.

[0174] It should be understood that the various parts of the present application can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable program execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0175] In the above description of this specification, the description with reference to the terms "one embodiment / example", "another embodiment / example" or "certain embodiments / examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner.

[0176] Although the embodiments of the present application have been shown and described, those skilled in the art will appreciate that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present application, and that the scope of the present application is defined by the claims and their equivalents.

[0177] The above is a specific description of the preferred implementation of the present application, but the present application is not limited to the described embodiments. Technical personnel familiar with the field may make various equivalent modifications or substitutions without violating the spirit of the present application. These equivalent modifications or substitutions are all included in the scope defined by the claims of the present application.

Claims

1. A signal generation method for resisting slice forwarding interference, characterized in that: The following steps are involved: Acquire target echo signal; The target echo signal includes a slice forwarding interference signal; Performing pulse detection on the target echo signal to extract the slice forwarding interference signal; Estimate characteristic parameters of the slice forwarding interference signal and construct an interference feature vector; According to the interference feature vector, an anti-interference waveform is designed to generate a signal that is resistant to slicing forwarding interference; wherein the anti-interference waveform is used to characterize a waveform that is orthogonal to the slicing point of the jammer; The transmission signal is a linear frequency modulation signal, and the slice forwarding interference signal is a linear frequency modulation signal having the same frequency modulation slope as the transmission signal; the step of estimating characteristic parameters of the slice forwarding interference signal and constructing an interference characteristic vector includes: Determine a reference signal according to the transmission signal; the reference signal and the transmission signal have the same frequency modulation slope; Based on the reference signal, performing a delinear frequency modulation process on the slice forwarding interference signal to obtain a first signal; constructing an interference feature vector according to the first signal; The interference feature vector includes the number of slices, the slice width and the slice position; and the step of constructing the interference feature vector according to the first signal includes: Performing Fourier transform processing on the first signal to determine a carrier frequency of a slice forwarding interference signal; Determine the slice position and the slice time domain position according to the carrier frequency of the forwarded interference signal; wherein the slice position is used to characterize the starting position of the original transmitted signal corresponding to any slice; Determine the number of slices according to the time domain position of the slices; wherein the number of slices is used to characterize the number of independent slices of the transmitted signal within a jammer's jamming pattern; The interference signal is forwarded according to the slice, and a slice width is determined; the slice width is used to characterize the time domain width of an independent slice.

2. The signal generation method for resisting slice forwarding interference according to claim 1, characterized in that: The anti-interference waveform includes a detection signal and a deception signal; the step of designing the anti-interference waveform includes the following steps: The position and width of the spoofing signal are determined according to the interference characteristic vector; wherein the spoofing signal comprises a single-frequency signal that is orthogonal to the detection signal in frequency.

3. The signal generation method for resisting slice forwarding interference according to claim 1, characterized in that: The step of designing an anti-interference waveform includes: According to the particle swarm algorithm, an anti-interference waveform is designed.

4. The signal generation method for resisting slice forwarding interference according to claim 3, characterized in that: The anti-interference waveform includes a detection signal and a deception signal; the step of designing the anti-interference waveform according to the particle swarm algorithm includes: The pulse width of the anti-interference waveform, the bandwidth of the detection signal and the carrier frequency of the deception signal are set as particle vectors; Establishing constraint conditions based on the particle vector; The weighted value between the root mean square error in the detection signal tracking process and the signal-to-interference ratio of the tracking detection result is set as the objective function; The objective function is optimized by particles according to the particle vector and the constraint condition to obtain an anti-interference waveform.

5. The signal generation method for resisting slice forwarding interference according to claim 1, characterized in that: The performing pulse detection on the target echo signal to extract the slice forwarding interference signal includes: Based on bidirectional CFAR signal detection, the slice forwarding interference signal is extracted; wherein the bidirectional CFAR is used to characterize CFAR detection from the front end and the back end of the signal.

6. A signal generation system for resisting slice forwarding interference, characterized in that: include: The first module is used to obtain the target echo signal; The target echo signal includes a slice forwarding interference signal; The second module is used to perform pulse detection on the target echo signal and extract the slice forwarding interference signal; The third module is used to estimate the characteristic parameters of the slice forwarding interference signal and construct an interference feature vector; The fourth module is used to design an anti-interference waveform according to the interference feature vector, and then generate a signal that is resistant to slicing forwarding interference; wherein the anti-interference waveform is used to characterize a waveform that is orthogonal to the slicing point of the jammer; The transmission signal is a linear frequency modulation signal, and the slice forwarding interference signal is a linear frequency modulation signal having the same frequency modulation slope as the transmission signal; the third module is used to: Determine a reference signal according to the transmission signal; the reference signal and the transmission signal have the same frequency modulation slope; Based on the reference signal, performing a delinear frequency modulation process on the slice forwarding interference signal to obtain a first signal; constructing an interference feature vector according to the first signal; The interference feature vector includes the number of slices, slice width and slice position; the third module is used to: Performing Fourier transform processing on the first signal to determine a carrier frequency of a slice forwarding interference signal; Determine the slice position and the slice time domain position according to the carrier frequency of the forwarded interference signal; wherein the slice position is used to characterize the starting position of the original transmitted signal corresponding to any slice; Determine the number of slices according to the time domain position of the slices; wherein the number of slices is used to characterize the number of independent slices of the transmitted signal within a jammer's jamming pattern; The interference signal is forwarded according to the slice, and a slice width is determined; the slice width is used to characterize the time domain width of an independent slice.

7. A signal generating device for resisting slice forwarding interference, characterized in that: include: at least one processor; at least one memory for storing at least one program; When the at least one program is executed by the at least one processor, the at least one processor implements the signal generation method for resisting slice forwarding interference according to any one of claims 1 to 5.

8. A computer-readable storage medium storing a program executable by a processor, characterized in that: The program executable by the processor is used to implement the signal generation method for resisting slice forwarding interference as described in any one of claims 1 to 5 when executed by the processor.

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