A radar active jamming waveform library

Abstract

In view of the problem that existing active jamming waveforms are difficult to counter the cognitive radar waveforms, the present application discloses a radar active jamming waveform library, which comprises a jamming task information acquisition and analysis module, a suppression jamming parameter analysis and judgment module, a deception jamming parameter analysis and judgment module, a smart jamming parameter analysis and judgment module, a suppression jamming waveform module, a deception jamming waveform module and a smart jamming waveform module. The suppression jamming waveform module comprises a classical suppression jamming waveform library, a suppression jamming waveform design rule library, a suppression jamming waveform design rule updating module and a suppression jamming waveform design module; and the smart jamming waveform module comprises a jamming modulation waveform library, a jamming modulation waveform design rule library, a jamming modulation waveform design rule updating module and a jamming modulation waveform design module. The present application realizes flexible, complete and adaptive jamming waveform design, and improves the jamming capability of the active jamming system against complex radar waveforms.

Description

Technical Field

[0001] This invention relates to the field of active radar jamming, and more particularly to a radar active jamming waveform library. Background Technology

[0002] In recent years, with the widespread application of microelectronics, digitalization, and intelligent technologies in radar, radar technology has developed rapidly, and technologies such as cognitive radar, digital array radar, software-defined radar, ultra-wideband radar, and SAR radar have emerged continuously. The new generation of radar sensing systems with cognitive capabilities will fully utilize their environmental perception capabilities, making transmission and reception a closed-loop system. This allows the system to adjust its operating mode, transmission parameters, and processing procedures in real time according to the surrounding environment (clutter, geographical environment, interference, etc.), greatly improving the performance of all aspects of the system.

[0003] Existing active jamming methods for radar mainly fall into two categories: suppression jamming and deception jamming. Current active jamming systems analyze detected radiation source signals to identify and locate the radiation source, determine its type and operating status, and then select an appropriate jamming mode based on a preset jamming strategy. This generates corresponding jamming waveforms and utilizes relevant radio frequency resources to jam the target radiation source. Currently used jamming waveforms are generated using fixed patterns and lack the ability to dynamically adjust to the target's situation. When facing multifunctional or intelligent radar waveforms, the jamming waveforms used are generated using fixed hardware platforms, lacking flexibility and openness in waveform generation. This results in existing active radar jamming systems failing to achieve the desired jamming effect when facing complex and variable radar waveforms. The jamming waveform is one of the key factors affecting the effectiveness of active radar jamming. How to achieve flexible, complete, and adaptable jamming waveforms is one of the key problems that needs to be solved to improve the jamming capability of active jamming systems against complex radar waveforms. Summary of the Invention

[0004] To address the problem that existing active jamming waveforms are insufficient to counter cognitive radar waveforms, resulting in inadequate jamming capabilities of traditional radar active jamming systems, this invention discloses a radar active jamming waveform library. Unlike traditional waveform libraries, the radar active jamming waveform library described in this invention is a collection of specific architectures, storage methods, and control methods for active jamming control parameters. Furthermore, the entire waveform library not only serves as a storage medium for jamming waveforms but also possesses functions such as generating and modifying jamming waveform generation rules, generating jamming waveforms, modifying waveforms, searching for waveforms, and updating waveforms.

[0005] This invention discloses a radar active jamming waveform library, including a jamming mission information acquisition and analysis module, a jamming suppression parameter analysis and discrimination module, a jamming deception parameter analysis and discrimination module, a smart jamming parameter analysis and discrimination module, a jamming suppression waveform module, a jamming deception waveform module, and a smart jamming waveform module;

[0006] The jamming task information acquisition and analysis module receives jamming task information, analyzes it to obtain jamming parameter information, and then determines whether the jamming task is a suppression jamming task or a spoofing jamming task. If the jamming task is a suppression jamming task, the jamming parameter information is sent to the suppression jamming parameter analysis and determination module; if the jamming task is a spoofing jamming task, the jamming parameter information is sent to the spoofing jamming parameter analysis and determination module; if the jamming task is a smart jamming task, the jamming parameter information is sent to the smart jamming parameter analysis and determination module. The suppression jamming parameter analysis and determination module is connected to the suppression jamming waveform module, the spoofing jamming parameter analysis and determination module is connected to the spoofing jamming waveform module, and the smart jamming parameter analysis and determination module is connected to the smart jamming waveform module. The jamming parameter information received by the spoofing jamming parameter analysis and determination module includes spoofing jamming pattern information and spoofing jamming waveform parameter information.

[0007] The interference suppression waveform module includes a classic interference suppression waveform library, an interference suppression waveform design rule library, an interference suppression waveform design rule update module, and an interference suppression waveform design module. Both the classic interference suppression waveform library and the interference suppression waveform design rule library are connected to the interference suppression parameter analysis and discrimination module. These three modules are interconnected, with the interference suppression waveform design module connected to the classic interference suppression waveform library.

[0008] The deception jamming waveform module includes a classic deception jamming modulation parameter module, a deception jamming modulation parameter optimization rule base, and a deception jamming modulation parameter optimization module. Both the classic deception jamming modulation parameter module and the deception jamming modulation parameter optimization rule base are connected to the deception jamming parameter parsing and discrimination module. The deception jamming modulation parameter optimization module is connected to both the deception jamming modulation parameter optimization rule base and the classic deception jamming modulation parameter module.

[0009] The agile interference waveform module includes an interference modulation waveform library, an interference modulation waveform design rule library, an interference modulation waveform design rule update module, and an interference modulation waveform design module. The interference modulation waveform library and the interference modulation waveform design rule library are both connected to the agile interference parameter analysis and discrimination module. These three modules are interconnected. The interference modulation waveform design module is connected to the interference modulation waveform library.

[0010] The suppression interference parameter parsing and discrimination module parses the received interference parameter information and extracts the suppression interference waveform information; it then discriminates the suppression interference waveform information. If the suppression interference waveform information is already contained in the classic suppression interference waveform library, the suppression interference waveform information is sent to the classic suppression interference waveform library; otherwise, the suppression interference waveform information is sent to the suppression interference waveform design rule library.

[0011] After receiving the suppression interference waveform information, the classic suppression interference waveform library generates the corresponding suppression interference waveform based on the suppression interference waveform information.

[0012] After receiving the suppression interference waveform information, the suppression interference waveform design rule library determines whether it contains a suppression interference waveform design rule that matches the suppression interference waveform information. If it does, the matching suppression interference waveform design rule is sent to the suppression interference waveform design module; otherwise, the suppression interference waveform information is sent to the suppression interference waveform design rule update module.

[0013] The suppression interference waveform design module uses the received suppression interference waveform design rules to generate suppression interference waveform generation parameters. Using the suppression interference waveform generation parameters, it generates and outputs the suppression interference waveform. The suppression interference waveform and its corresponding suppression interference waveform information are sent to the classic suppression interference waveform library. The classic suppression interference waveform library saves the received suppression interference waveform and its corresponding suppression interference waveform information.

[0014] The suppression interference waveform design rule update module uses the received suppression interference waveform information to generate corresponding suppression interference waveform design rules, and sends the generated suppression interference waveform design rules to the suppression interference waveform design module and the suppression interference waveform design rule library.

[0015] The suppression interference waveform design rule update module uses the received suppression interference waveform information to generate corresponding suppression interference waveform design rules, and sends the generated suppression interference waveform design rules to the suppression interference waveform design module, including:

[0016] When the suppression interference waveform design rule base does not contain a suppression interference waveform design rule that matches the suppression interference waveform information, the suppression interference waveform design rule update module uses the suppression interference waveform information and establishes a suppression interference waveform probability optimization model based on the information entropy maximization criterion. The expression for this model is:

[0017]

[0018]

[0019] Where Φ(v) is the probability distribution value of the total interference waveform under the weight vector v, m0 is the number of interference sub-beams, and [a,b] is the value distribution range of the total interference waveform. Let be the probability distribution function of the first interference sub-waveform, and so on. Let C be the probability distribution function of the m0th interference sub-waveform, C1 be the constraint value of the probability distribution function of the first interference sub-waveform, and so on. m0 Let be the constraint value of the probability distribution function of the m0th interference sub-waveform, p be the parameters of the suppressed interference waveform, and F(x,p) be the probability distribution function of the total interference waveform, whose expression is:

[0020]

[0021] Where v is the weight vector, v1 represents the weighting value of the first interference sub-waveform, and so on, v m0 This represents the weighting value of the m0th interference sub-waveform. The probabilistic optimization model for suppressing interference waveforms is used as the design rule for suppressing interference waveforms and sent to the suppression interference waveform design module and the suppression interference waveform design rule library.

[0022] The classic deception jamming modulation parameter module includes deception jamming style information, including false target deception jamming, dense false target suppression jamming, range gate dragging jamming, velocity gate dragging jamming, and angle deception jamming. False target deception jamming's corresponding waveform parameters include the number of false targets, jamming signal frequency, delay time, and amplitude. Dense false target suppression jamming's corresponding waveform parameters include jamming signal frequency, start delay time, jamming replication interval, number of jamming replicas, and signal amplitude. Range gate dragging jamming is divided into four stages: acquisition, dragging, dwell, and stop. The deception jamming waveform parameters for each stage include jamming signal amplitude and continuously varying delay time. Velocity gate dragging jamming's corresponding waveform parameters include jamming signal amplitude and continuously varying Doppler frequency shift parameters. Angle deception jamming's corresponding waveform parameters include signal frequency, jamming signal amplitude, phase, and amplitude ratio and phase difference between multiple channels.

[0023] The deception interference parameter parsing and discrimination module parses the received interference parameter information and extracts the deception interference pattern information; it then discriminates the deception interference pattern information. If the classic deception interference modulation parameter module includes the deception interference pattern information, the interference parameter information is sent to the classic deception interference modulation parameter module; otherwise, the interference parameter information is sent to the deception interference modulation parameter optimization rule base.

[0024] After receiving the interference parameter information, the classic deception interference modulation parameter module determines the corresponding deception interference pattern information and deception interference waveform parameter information based on the interference parameter information, then determines the corresponding deception interference modulation parameters, and outputs the determined deception interference modulation parameters.

[0025] The deception interference modulation parameter optimization rule base searches for deception interference modulation parameter optimization rules contained therein based on the received interference parameter information. If it contains a deception interference modulation parameter optimization rule that matches the received interference parameter information, the matching deception interference modulation parameter optimization rule is sent to the deception interference modulation parameter optimization module. If it does not contain a deception interference modulation parameter optimization rule that matches the received interference parameter information, the received interference parameter information is sent to the deception interference modulation parameter optimization module.

[0026] The deception interference modulation parameter optimization module generates deception interference modulation parameters using the received deception interference modulation parameter optimization rules, or generates corresponding deception interference modulation parameter optimization rules based on the received interference parameter information, and then generates deception interference modulation parameters using these rules. After generating the deception interference modulation parameters, the optimization module sends the deception interference modulation parameters and the corresponding interference parameter information to the classic deception interference modulation parameter module. The classic deception interference modulation parameter module saves the received deception interference modulation parameters and the corresponding interference parameter information.

[0027] The deception interference modulation parameter optimization rule base includes intermittent sampling and forwarding interference optimization rules and deep reinforcement learning waveform parameter optimization rules.

[0028] When the deception interference pattern information in the interference parameter information received by the deception interference modulation parameter optimization rule base is intelligent deception interference, the deception interference modulation parameter optimization rule base sends the deep reinforcement learning waveform parameter optimization rules to the deception interference modulation parameter optimization module.

[0029] The deep reinforcement learning waveform parameter optimization rule uses deception and interference modulation parameters as actions, the range of values ​​for these parameters as an action library, radar transmitted waveforms, electromagnetic environment information, radar received waveforms, and radar target detection and tracking results as the environment, and the signal-to-noise ratio of the compressed radar received waveform pulses and the probability of correct radar target detection as the state. The change in state values ​​before and after each action change is used as the reward value. A deep reinforcement learning network for active radar deception and interference is established using a deep reinforcement learning algorithm. This network is trained, and the optimal action value is obtained. This optimal action value is then used as the deception and interference modulation parameters generated by the deception and interference modulation parameter optimization module.

[0030] When the deception interference pattern information in the interference parameter information received by the deception interference modulation parameter optimization rule base is intermittent sampling forwarding interference, the deception interference modulation parameter optimization rule base sends the intermittent sampling forwarding interference optimization rule to the deception interference modulation parameter optimization module.

[0031] The intermittent sampling forwarding interference optimization rule establishes the relationship between the interference effect of intermittent sampling forwarding interference and the quantization of the pulse parameters of the intermittent sampling signal. With the goal of maximizing the interference effect, an optimization model for deception interference modulation parameters is established. The optimization algorithm is used to solve the optimization model for deception interference modulation parameters to obtain the optimal value of the deception interference modulation parameters. The optimal value of the deception interference modulation parameters is used as the deception interference modulation parameters generated by the deception interference modulation parameter optimization module.

[0032] The smart interference parameter parsing and discrimination module parses the received interference parameter information and extracts the smart interference waveform information; it then discriminates the smart interference waveform information. If the smart interference waveform information is already contained in the interference modulation waveform library, the smart interference waveform information is sent to the interference modulation waveform library; otherwise, the smart interference waveform information is sent to the interference modulation waveform design rule library.

[0033] After receiving the smart interference waveform information, the interference modulation waveform library determines the smart interference modulation waveform based on the smart interference waveform information and outputs the smart interference modulation waveform.

[0034] The interference modulation waveform design rule base searches for the interference modulation waveform design rules contained in the received smart interference waveform information. If it contains an interference modulation waveform design rule that matches the smart interference waveform information, the matching interference modulation waveform design rule is sent to the interference modulation waveform design module. If it does not contain an interference modulation waveform design rule that matches the smart interference waveform information, the received smart interference waveform information is sent to the interference modulation waveform design rule update module.

[0035] The interference modulation waveform design rule update module uses the received smart interference waveform information to generate corresponding interference modulation waveform design rules, and sends the generated interference modulation waveform design rules to the interference modulation waveform design rule library and the interference modulation waveform design module.

[0036] The interference modulation waveform design module uses the received interference modulation waveform design rules to generate a corresponding smart interference modulation waveform and outputs the generated smart interference modulation waveform.

[0037] The interference modulation waveform design module will send the smart interference modulation waveform generated by the interference modulation waveform design rules generated by the interference modulation waveform design rule update module, and the corresponding smart interference waveform information, to the interference modulation waveform library. The interference modulation waveform library will save the received smart interference modulation waveform and the corresponding smart interference waveform information.

[0038] The interference modulation waveform library includes noise modulation waveforms, signal function modulation waveforms, and composite noise and signal function modulation waveforms. If the smart interference waveform information is one of the following: noise modulation waveform, signal function modulation waveform, or composite noise and signal function modulation waveform, the interference modulation waveform library determines the smart interference modulation waveform based on the smart interference waveform information and outputs the smart interference modulation waveform.

[0039] The interference modulation waveform design rule base includes detection signal-to-noise ratio criteria, mutual information criteria, waveform Euclidean distance criteria, and cross-correlation function criteria.

[0040] When the smart interference waveform information is the waveform with the minimum radar detection signal-to-noise ratio, the interference modulation waveform design rule library selects the detection signal-to-noise ratio criterion and sends the detection signal-to-noise ratio criterion to the interference modulation waveform design module.

[0041] The aforementioned detection signal-to-noise ratio criterion uses the radar detection signal-to-noise ratio as the interference evaluation index, establishes a quantitative relationship between the radar detection signal-to-noise ratio and the interference modulation waveform parameters, takes minimizing the radar's correct detection probability as the objective function, and uses the range of values ​​for the interference modulation waveform parameters as constraints to establish a first interference modulation waveform optimization model. An optimization solution method is used to solve the first interference modulation waveform optimization model to obtain the optimal values ​​of the interference modulation waveform parameters. Using the optimal values ​​of the interference modulation waveform parameters, a corresponding agile interference modulation waveform is generated.

[0042] When the smart interference waveform information is the waveform with the minimum mutual information, the interference modulation waveform design rule base selects the mutual information criterion and sends the mutual information criterion to the interference modulation waveform design module.

[0043] The mutual information criterion uses waveform mutual information as an interference evaluation index to establish a quantitative relationship between waveform mutual information and interference modulation waveform parameters. The objective function is to minimize the mutual information between the interference output signal waveform and the radar output signal waveform. The range of values ​​for the interference modulation waveform parameters is used as a constraint to establish a second interference modulation waveform optimization model. An optimization solution method is used to solve the second interference modulation waveform optimization model to obtain the optimal values ​​of the interference modulation waveform parameters. The optimal values ​​of the interference modulation waveform parameters are then used to generate the corresponding smart interference modulation waveform.

[0044] Interference output signal waveform y J (t) and radar output signal waveform ys The mutual information I(y) between (t) J (t),y s (t)), its expression is:

[0045]

[0046] Among them, Y J (f) is y J The spectrum function of Y(t), s (f) is y s The spectrum function of Y(t), [B1,B2] is the spectrum function of Y(t). J (f) and Y s The frequency domain range of (f), P nn (f) represents the spectrum of the received noise of the matched filter in the radar system, where f denotes the frequency. The received noise of the matched filter in the radar system is additive white Gaussian noise.

[0047] When the smart interference waveform information is the waveform with the maximum Euclidean distance, the interference modulation waveform design rule library selects the waveform Euclidean distance criterion and sends the waveform Euclidean distance criterion to the interference modulation waveform design module.

[0048] The waveform Euclidean distance criterion uses the waveform Euclidean distance as an interference evaluation index to establish a quantitative relationship between the waveform Euclidean distance and the interference modulation waveform parameters. The objective function is to maximize the waveform Euclidean distance between the interference output signal waveform and the radar output signal waveform. The constraint condition is the range of values ​​of the interference modulation waveform parameters. A third interference modulation waveform optimization model is established. An optimization solution method is used to solve the third interference modulation waveform optimization model to obtain the optimal values ​​of the interference modulation waveform parameters. The optimal values ​​of the interference modulation waveform parameters are then used to generate the corresponding smart interference modulation waveform.

[0049] Interference output signal waveform y J (t) and radar output signal waveform y s The waveform Euclidean distance D(y) between (t) and (t) J (t),y s (t)), its expression is:

[0050]

[0051] Where [t3,t4] is the waveform of the interference output signal y J (t) and radar output signal waveform y s The duration range of (t).

[0052] When the smart interference waveform information is the waveform with the minimum cross-correlation function, the interference modulation waveform design rule library selects the cross-correlation function criterion and sends the cross-correlation function criterion to the interference modulation waveform design module.

[0053] The cross-correlation function criterion uses the cross-correlation function as an interference evaluation index to establish a quantitative relationship between the cross-correlation function and the interference modulation waveform parameters. The objective function is to minimize the cross-correlation function between the smart jamming signal waveform and the radar transmitted signal. The constraint condition is the range of values ​​for the interference modulation waveform parameters. A fourth interference modulation waveform optimization model is established. An optimization solution method is used to solve the fourth interference modulation waveform optimization model to obtain the optimal values ​​of the interference modulation waveform parameters. The optimal values ​​of the interference modulation waveform parameters are then used to generate the corresponding smart jamming modulation waveform.

[0054] The cross-correlation function R(jn(t),s(t)) between the smart jamming signal waveform jn(t) and the radar transmitted signal s(t) is expressed as follows:

[0055]

[0056] Where [t1,t2] represents the duration range of the smart jamming signal waveform and the radar transmitted signal.

[0057] The interference modulation waveform design rule update module uses the received smart interference waveform information to generate corresponding interference modulation waveform design rules, including:

[0058] The interference modulation waveform design rule update module extracts information from the received smart interference waveform information to obtain the importance values ​​of the performance indicators of smart interference waveform design. Based on the importance values, it determines the corresponding weights of the interference modulation waveform design rules for each performance indicator. The objective function in the interference modulation waveform design rules is then weighted and summed using these weights to obtain an updated objective function. Similarly, the constraints in the interference modulation waveform design rules are weighted and summed using these weights to obtain updated constraints. Finally, using the updated objective function and constraints, the corresponding interference modulation waveform design rules are generated. The performance indicators of smart interference waveform design include the detection signal-to-noise ratio, mutual information, waveform Euclidean distance, and cross-correlation function.

[0059] The beneficial effects of this invention are as follows:

[0060] 1. This invention achieves flexible, complete, and adaptable interference waveform design, thereby improving the interference capability of active jamming systems against complex radar waveforms.

[0061] 2. This invention provides design schemes for radar active interference waveforms for three different scenarios. The waveform generation scheme for each active interference module is different. To meet different interference requirements, adaptive generation of interference waveforms is achieved, improving the completeness and flexibility of interference waveforms.

[0062] 3. When facing new threats, this invention can dynamically generate corresponding interference signals in real time, and adjust the interference scheme and interference generation rules in real time according to changes in the threat and the interference effect. It has the ability to dynamically iterate, ensuring the real-time performance and effectiveness of the interference effect. Attached Figure Description

[0063] Figure 1 This is a schematic diagram illustrating the composition of the radar active jamming waveform library of the present invention. Detailed Implementation

[0064] To better understand the content of this invention, an embodiment is provided here.

[0065] Figure 1 This is a schematic diagram illustrating the composition of the radar active jamming waveform library of the present invention.

[0066] To address the problem that existing active jamming waveforms are insufficient to counter cognitive radar waveforms, resulting in inadequate jamming capabilities of traditional radar active jamming systems, this invention discloses a radar active jamming waveform library. Unlike traditional waveform libraries, the radar active jamming waveform library described in this invention is a collection of specific architectures, storage methods, and control methods for active jamming control parameters. Furthermore, the entire waveform library not only serves as a storage medium for jamming waveforms but also possesses functions such as generating and modifying jamming waveform generation rules, generating jamming waveforms, modifying waveforms, searching for waveforms, and updating waveforms.

[0067] This invention discloses a radar active jamming waveform library, including a jamming mission information acquisition and analysis module, a jamming suppression parameter analysis and discrimination module, a jamming deception parameter analysis and discrimination module, a smart jamming parameter analysis and discrimination module, a jamming suppression waveform module, a jamming deception waveform module, and a smart jamming waveform module;

[0068] The jamming task information acquisition and analysis module receives jamming task information, analyzes it to obtain jamming parameter information, and then determines whether the jamming task is a suppression jamming task or a spoofing jamming task. If the jamming task is a suppression jamming task, the jamming parameter information is sent to the suppression jamming parameter analysis and determination module; if the jamming task is a spoofing jamming task, the jamming parameter information is sent to the spoofing jamming parameter analysis and determination module; if the jamming task is a smart jamming task, the jamming parameter information is sent to the smart jamming parameter analysis and determination module. The suppression jamming parameter analysis and determination module is connected to the suppression jamming waveform module, the spoofing jamming parameter analysis and determination module is connected to the spoofing jamming waveform module, and the smart jamming parameter analysis and determination module is connected to the smart jamming waveform module. The jamming parameter information received by the spoofing jamming parameter analysis and determination module includes spoofing jamming pattern information and spoofing jamming waveform parameter information.

[0069] The jamming mission information acquisition and analysis module is connected to the jamming parameter analysis and discrimination module, the deception jamming parameter analysis and discrimination module, and the agile jamming parameter analysis and discrimination module.

[0070] The interference suppression waveform module includes a classic interference suppression waveform library, an interference suppression waveform design rule library, an interference suppression waveform design rule update module, and an interference suppression waveform design module. Both the classic interference suppression waveform library and the interference suppression waveform design rule library are connected to the interference suppression parameter analysis and discrimination module. These three modules are interconnected, with the interference suppression waveform design module connected to the classic interference suppression waveform library.

[0071] The deception jamming waveform module includes a classic deception jamming modulation parameter module, a deception jamming modulation parameter optimization rule base, and a deception jamming modulation parameter optimization module. Both the classic deception jamming modulation parameter module and the deception jamming modulation parameter optimization rule base are connected to the deception jamming parameter parsing and discrimination module. The deception jamming modulation parameter optimization module is connected to both the deception jamming modulation parameter optimization rule base and the classic deception jamming modulation parameter module.

[0072] The agile interference waveform module includes an interference modulation waveform library, an interference modulation waveform design rule library, an interference modulation waveform design rule update module, and an interference modulation waveform design module. The interference modulation waveform library and the interference modulation waveform design rule library are both connected to the agile interference parameter analysis and discrimination module. These three modules are interconnected. The interference modulation waveform design module is connected to the interference modulation waveform library.

[0073] The suppression interference parameter parsing and discrimination module parses the received interference parameter information and extracts the suppression interference waveform information; it then discriminates the suppression interference waveform information. If the suppression interference waveform information is already contained in the classic suppression interference waveform library, the suppression interference waveform information is sent to the classic suppression interference waveform library; otherwise, the suppression interference waveform information is sent to the suppression interference waveform design rule library.

[0074] After receiving the suppression interference waveform information, the classic suppression interference waveform library generates the corresponding suppression interference waveform based on the suppression interference waveform information.

[0075] After receiving the suppression interference waveform information, the suppression interference waveform design rule library determines whether it contains a suppression interference waveform design rule that matches the suppression interference waveform information. If it does, the matching suppression interference waveform design rule is sent to the suppression interference waveform design module; otherwise, the suppression interference waveform information is sent to the suppression interference waveform design rule update module.

[0076] The suppression interference waveform design module uses the received suppression interference waveform design rules to generate suppression interference waveform generation parameters. Using the suppression interference waveform generation parameters, it generates and outputs the suppression interference waveform. The suppression interference waveform and its corresponding suppression interference waveform information are sent to the classic suppression interference waveform library. The classic suppression interference waveform library saves the received suppression interference waveform and its corresponding suppression interference waveform information.

[0077] The suppression interference waveform design rule update module uses the received suppression interference waveform information to generate corresponding suppression interference waveform design rules, and sends the generated suppression interference waveform design rules to the suppression interference waveform design module and the suppression interference waveform design rule library.

[0078] The classic suppression interference waveform library includes suppression interference waveforms such as: radio frequency noise interference waveforms, noise amplitude modulation interference waveforms, noise frequency modulation interference waveforms, noise phase modulation interference waveforms, and pulse interference waveforms. Suppression interference waveform information includes center frequency, signal bandwidth, interference power, and duration.

[0079] The expression for the radio frequency noise interference waveform J1(t) is:

[0080] J1(t)=U n (t)cos[ω j t+φ(t)],

[0081] Where t is time, and the envelope function U n (t) follows a Rayleigh distribution, and the phase function φ(t) follows a uniform distribution in [0, 2π], and is consistent with U n (t) are independent. Center frequency ω j It is a constant.

[0082] The amplitude-modulated noise interference waveform J2(t) follows a generalized random process, and its expression is:

[0083] J2(t)=[U0+U n (t)]cos(ω j t+φ),

[0084] Among them, modulation noise U n (t) has zero mean and variance. In the interval [-Uo A generalized stationary random process with a distribution of [0, ∞], where φ is uniformly distributed on [0, 2π] and is related to U n (t) Independent random variables. Constant amplitude U0, center frequency ω j All are constants.

[0085] The frequency-modulated noise interference J3(t) is a commonly used masking interference. Its waveform amplitude follows a generalized stationary random process, and its frequency-modulated noise interference waveform expression is as follows:

[0086]

[0087] In the formula, the modulation noise u(t′) is a zero-mean, generalized stationary random process, φ is a uniform distribution on [0, 2π] and is a random variable independent of u(t′), and t′ is an intermediate time variable; U j The amplitude of the noise frequency-modulated signal; ω j K is the center frequency of the noise FM signal. FM This represents the frequency modulation slope.

[0088] The expression for the noise phase modulation interference waveform J4(t) is:

[0089] J4(t)=U j cos[ω j t+K PM u(t)+φ],

[0090] Wherein, the modulation noise u(t) is a zero-mean, generalized stationary random process, φ is a uniformly distributed random variable on [0, 2π], and is independent of u(t). j The amplitude of the noise frequency-modulated signal; ω j K is the center frequency of the noise FM signal. FM U is the frequency modulation slope. j ω j K FM It is a constant. The expression for the pulse interference waveform is represented by J5(t).

[0091] The rule library for suppressing interference waveform design includes the Neyman-Pearson waveform design rule, the ideal observer design rule, and the classic weighted optimization design rule for suppressing interference waveform.

[0092] When the suppression jamming waveform information is the waveform with the lowest probability of correct detection by the radar, the Neyman-Pearson waveform design rule is selected from the suppression jamming waveform design rule library as the suppression jamming waveform design rule that matches the waveform with the lowest probability of correct detection by the radar. The Neyman-Pearson waveform design rule is then sent to the suppression jamming waveform design module.

[0093] The Neyman-Pearson waveform design rule uses the radar correct detection probability as the interference evaluation index, establishes a quantitative relationship between the radar correct detection probability and the suppression interference waveform parameters, takes minimizing the radar correct detection probability as the objective function, and uses the range of values ​​of the suppression interference waveform parameters as the constraint condition to establish a first suppression interference waveform optimization model. The optimization solution method is used to solve the first suppression interference waveform optimization model to obtain the optimal values ​​of the suppression interference waveform parameters, which are used as the suppression interference waveform generation parameters.

[0094] When the suppression jamming waveform information is the waveform with the highest probability of radar error detection, the suppression jamming waveform design rule library selects the ideal observer design rule as the suppression jamming waveform design rule that matches the waveform with the highest probability of radar error detection, and sends the ideal observer design rule to the suppression jamming waveform design module.

[0095] The ideal observer design rule uses the radar error detection probability as the interference evaluation index to establish a quantitative relationship between the radar error detection probability and the suppression interference waveform parameters. It takes maximizing the radar error detection probability as the objective function and the range of values ​​of the suppression interference waveform parameters as the constraint condition to establish a second suppression interference waveform optimization model. The second suppression interference waveform optimization model is solved by an optimization solution method to obtain the optimal values ​​of the suppression interference waveform parameters, which are used as the suppression interference waveform generation parameters.

[0096] When the suppressed interference waveform information is a weighted optimized suppressed interference waveform, the suppressed interference waveform design rule library selects the classic suppressed interference waveform weighted optimization design rule as the suppressed interference waveform design rule that matches the weighted optimized suppressed interference waveform, and sends the classic suppressed interference waveform weighted optimization design rule to the suppressed interference waveform design module.

[0097] The classic suppression interference waveform weighted optimization design rule includes a weighted optimization model, the expression of which is:

[0098]

[0099] Where w1, w2, w3, w4, and w5 are the weighting coefficients of the interference waveforms J1(t), J2(t), J3(t), J4(t), and J5(t), respectively; JF(w1, w2, w3, w4, w5) is the interference effect function; E(w1, w2, w3, w4, w5) is the interference waveform energy constraint function; T(w1, w2, w3, w4, w5) is the interference waveform duration constraint function; E0 is the energy threshold; and T0 is the time threshold. The weighted optimization model is solved using optimization methods to obtain w1, w2, w3, w4, and w5. The suppressed interference waveform, Ja(t), is calculated using the weighting coefficients.

[0100] Ja(t)=w1J1(t)+w2J2(t)+w3J3(t)+w4J4(t)+w5J5(t),

[0101] This completes the generation of the suppression interference waveform.

[0102] The suppression interference waveform design rule update module uses the received suppression interference waveform information to generate corresponding suppression interference waveform design rules, and sends the generated suppression interference waveform design rules to the suppression interference waveform design module, including:

[0103] When the suppression interference waveform design rule base does not contain a suppression interference waveform design rule that matches the suppression interference waveform information, the suppression interference waveform design rule update module uses the suppression interference waveform information and establishes a suppression interference waveform probability optimization model based on the information entropy maximization criterion. The expression for this model is:

[0104]

[0105]

[0106] Where Φ(v) is the probability distribution value of the total interference waveform under the weight vector v, m0 is the number of interference sub-beams, and [a,b] is the value distribution range of the total interference waveform. Let be the probability distribution function of the first interference sub-waveform, and so on. Let C be the probability distribution function of the m0th interference sub-waveform, C1 be the constraint value of the probability distribution function of the first interference sub-waveform, and so on. m0 Let be the constraint value of the probability distribution function of the m0th interference sub-waveform, p be the parameters of the suppressed interference waveform, and F(x,p) be the probability distribution function of the total interference waveform, whose expression is:

[0107]

[0108] Where v is the weight vector, v1 represents the weighting value of the first interference sub-waveform, and so on, v m0 This represents the weighted value of the m0th interference sub-waveform. The probabilistic optimization model for suppressing interference waveforms is used as the design rule for suppressing interference waveforms and sent to the suppression interference waveform design module and the suppression interference waveform design rule library. The interference sub-waveforms can be waveforms from the classic suppression interference waveform library.

[0109] After receiving the probability optimization model for the suppression interference waveform, the suppression interference waveform design module uses an optimization algorithm to solve the model and obtain the optimal value of the weight vector v. Then, it uses the optimal value of the weight vector v to perform a weighted summation on the corresponding interference sub-waveforms to generate the suppression interference waveform.

[0110] The classic spoofing jamming modulation parameter module contains spoofing jamming pattern information and spoofing jamming waveform parameter information. The spoofing jamming pattern information and the spoofing jamming waveform parameter information are in a one-to-one correspondence.

[0111] The classic deception jamming modulation parameter module includes deception jamming style information, including false target deception jamming, dense false target suppression jamming, range gate dragging jamming, velocity gate dragging jamming, and angle deception jamming. False target deception jamming's corresponding waveform parameters include the number of false targets, jamming signal frequency, delay time, and amplitude. Dense false target suppression jamming's corresponding waveform parameters include jamming signal frequency, start delay time, jamming replication interval, number of jamming replicas, and signal amplitude. Range gate dragging jamming is divided into four stages: acquisition, dragging, dwell, and stop. The deception jamming waveform parameters for each stage include jamming signal amplitude and continuously varying delay time. Velocity gate dragging jamming's corresponding waveform parameters include jamming signal amplitude and continuously varying Doppler frequency shift parameters. Angle deception jamming's corresponding waveform parameters include signal frequency, jamming signal amplitude, phase, and amplitude ratio and phase difference between multiple channels.

[0112] The deception interference parameter parsing and discrimination module parses the received interference parameter information and extracts the deception interference pattern information; it then discriminates the deception interference pattern information. If the classic deception interference modulation parameter module includes the deception interference pattern information, the interference parameter information is sent to the classic deception interference modulation parameter module; otherwise, the interference parameter information is sent to the deception interference modulation parameter optimization rule base.

[0113] After receiving the interference parameter information, the classic deception jamming modulation parameter module determines the corresponding deception jamming pattern information and deception jamming waveform parameter information based on the interference parameter information, and then determines the corresponding deception jamming modulation parameters, outputting the determined deception jamming modulation parameters. These deception jamming modulation parameters are used to modulate the radar waveform received by the radar active jamming system to generate a deception jamming waveform.

[0114] The deception interference modulation parameter optimization rule base searches for deception interference modulation parameter optimization rules contained therein based on the received interference parameter information. If it contains a deception interference modulation parameter optimization rule that matches the received interference parameter information, the matching deception interference modulation parameter optimization rule is sent to the deception interference modulation parameter optimization module. If it does not contain a deception interference modulation parameter optimization rule that matches the received interference parameter information, the received interference parameter information is sent to the deception interference modulation parameter optimization module.

[0115] The deception interference modulation parameter optimization module generates deception interference modulation parameters using the received deception interference modulation parameter optimization rules, or generates corresponding deception interference modulation parameter optimization rules based on the received interference parameter information, and then generates deception interference modulation parameters using these rules. After generating the deception interference modulation parameters, the optimization module sends the deception interference modulation parameters and the corresponding interference parameter information to the classic deception interference modulation parameter module. The classic deception interference modulation parameter module saves the received deception interference modulation parameters and the corresponding interference parameter information.

[0116] The deception interference modulation parameter optimization rule base includes intermittent sampling and forwarding interference optimization rules and deep reinforcement learning waveform parameter optimization rules.

[0117] When the deception interference pattern information in the interference parameter information received by the deception interference modulation parameter optimization rule base is intelligent deception interference, the deception interference modulation parameter optimization rule base sends the deep reinforcement learning waveform parameter optimization rules to the deception interference modulation parameter optimization module.

[0118] The deep reinforcement learning waveform parameter optimization rule uses deception and interference modulation parameters as actions, the range of values ​​for these parameters as an action library, radar transmitted waveforms, electromagnetic environment information, radar received waveforms, and radar target detection and tracking results as the environment, and the signal-to-noise ratio of the compressed radar received waveform pulses and the probability of correct radar target detection as the state. The change in state values ​​before and after each action change is used as the reward value. A deep reinforcement learning network for active radar deception and interference is established using a deep reinforcement learning algorithm. This network is trained, and the optimal action value is obtained. This optimal action value is then used as the deception and interference modulation parameters generated by the deception and interference modulation parameter optimization module.

[0119] When the deception interference pattern information in the interference parameter information received by the deception interference modulation parameter optimization rule base is intermittent sampling forwarding interference, the deception interference modulation parameter optimization rule base sends the intermittent sampling forwarding interference optimization rule to the deception interference modulation parameter optimization module.

[0120] The intermittent sampling forwarding interference optimization rule establishes the relationship between the interference effect of intermittent sampling forwarding interference and the quantization of the pulse parameters of the intermittent sampling signal. With the goal of maximizing the interference effect, an optimization model for deception interference modulation parameters is established. The optimization algorithm is used to solve the optimization model for deception interference modulation parameters to obtain the optimal value of the deception interference modulation parameters. The optimal value of the deception interference modulation parameters is used as the deception interference modulation parameters generated by the deception interference modulation parameter optimization module.

[0121] When the deception jamming pattern information in the deception jamming waveform information is intermittent sampling forwarding jamming, the deception jamming is implemented using intermittent sampling forwarding jamming. Intermittent sampling forwarding jamming (ISRJ) utilizes the time-division multiplexing of the jammer antenna to perform low-rate intermittent sampling processing on the intercepted signal. After the intermittent samples enter the radar receiver, the matched filtering characteristics of the pulse compression radar can be used to generate a coherent false target string jamming effect.

[0122] Intermittent sampling and forwarding jamming is based on DRFM jamming. Its process is as follows: After intercepting a long-bandwidth signal, the jammer first samples and stores a small segment of the signal, modulates and amplifies it, and then immediately forwards it. Then, it receives and samples the next segment of the signal, forwards it again, and repeats this cycle until the entire pulse ends. The expression for the intermittent sampling signal pulse waveform p0(t) used in intermittent sampling and forwarding jamming is:

[0123]

[0124] Wherein, the pulse width is τ0, and the pulse repetition period is T. s0 The expression for the intermittent sampling and forwarding interference pulse waveform is:

[0125] x s0 (t)=p0(t)x(t),

[0126] Where x(t) is the received radar transmitted signal waveform, which is a linear frequency modulated signal pulse waveform.

[0127] The interference effect of intermittent sampling-forwarding interference is determined by the number of intermittent sampling signal pulses, the pulse width of the intermittent sampling signal pulses, and the number of times the intermittent sampling signal pulses are forwarded. These three parameters are used as optimization parameters in the deception interference modulation parameter optimization model. The pulse compression result of the intermittent sampling-forwarding interference pulse waveform is calculated, yielding:

[0128]

[0129] in, τ represents the total time of the first k-1 samples and the intermittent sampling signal pulses. k Let be the pulse width of the k-th intermittent sampled signal pulse being sampled and forwarded, K be the total number of intermittent sampled signal pulses being sampled and forwarded, k be the sequence number of the intermittent sampled signal pulses being sampled and forwarded, μ be the frequency modulation slope of the radar transmitted signal waveform, and M be the pulse width of the k-th intermittent sampled signal pulse being sampled and forwarded. k Let be the number of times the intermittently sampled signal pulse is forwarded for the k-th sampling and forwarding, and m be the forwarding sequence number. The maximum and minimum values ​​of the main lobe offset center of the time-domain waveform of the intermittently sampled and forwarded interference pulse waveform are denoted as t. max and t minAn optimization model for deception interference modulation parameters is established, and its expression is:

[0130]

[0131] The deception interference modulation parameters include the number of intermittent sampling signal pulses, the pulse width of the intermittent sampling signal pulses, and the number of times the intermittent sampling signal pulses are forwarded. These parameters are also the optimization parameters of the deception interference modulation parameter optimization model, where D{} represents variance calculation. The optimization algorithm is used to solve the deception interference modulation parameter optimization model to obtain the optimal values ​​of the deception interference modulation parameters. These optimal values ​​are then used as the deception interference modulation parameters generated by the deception interference modulation parameter optimization module.

[0132] The smart interference parameter parsing and discrimination module parses the received interference parameter information and extracts the smart interference waveform information; it then discriminates the smart interference waveform information. If the smart interference waveform information is already contained in the interference modulation waveform library, the smart interference waveform information is sent to the interference modulation waveform library; otherwise, the smart interference waveform information is sent to the interference modulation waveform design rule library.

[0133] After receiving the smart interference waveform information, the interference modulation waveform library determines the smart interference modulation waveform based on the smart interference waveform information and outputs the smart interference modulation waveform.

[0134] The interference modulation waveform design rule base searches for the interference modulation waveform design rules contained in the received smart interference waveform information. If it contains an interference modulation waveform design rule that matches the smart interference waveform information, the matching interference modulation waveform design rule is sent to the interference modulation waveform design module. If it does not contain an interference modulation waveform design rule that matches the smart interference waveform information, the received smart interference waveform information is sent to the interference modulation waveform design rule update module.

[0135] The interference modulation waveform design rule update module uses the received smart interference waveform information to generate corresponding interference modulation waveform design rules, and sends the generated interference modulation waveform design rules to the interference modulation waveform design rule library and the interference modulation waveform design module.

[0136] The interference modulation waveform design module uses the received interference modulation waveform design rules to generate a corresponding smart interference modulation waveform and outputs the generated smart interference modulation waveform.

[0137] The interference modulation waveform design module will send the smart interference modulation waveform generated by the interference modulation waveform design rules generated by the interference modulation waveform design rule update module, and the corresponding smart interference waveform information, to the interference modulation waveform library. The interference modulation waveform library will save the received smart interference modulation waveform and the corresponding smart interference waveform information.

[0138] Smart jamming is a type of interference that utilizes the processing gain of the radar receiver channel to enter the receiver, allowing noise or target-like objects to pass through. It combines the characteristics of suppression and deception jamming, making it a composite jamming style, also known as smart noise jamming. The smart jamming waveform contains the spectral information of the radar signal and has a strong matching relationship with the radar receiver channel. Therefore, it can leverage the radar's signal processing gain to increase the noise jamming capability entering the receiver, improving the jamming effect while saving the jammer's transmission power. Assuming the radar transmitted signal is s(t) and the impulse response of the radar matched filter is h(t), the expression for the radar output signal waveform after passing through the matched filter is:

[0139] y s (t)=s(t)*h(t),

[0140] Where * represents the convolution operator, y s (t) represents the output of the radar transmitted waveform after passing through the matched filter, or simply the radar output signal waveform. The interference modulation waveform is denoted by jm(t). Convolving the interference modulation waveform with the radar transmitted signal s(t) yields the agile interference signal waveform jn(t), whose expression is:

[0141] jn(t) = s(t) * jm(t),

[0142] After the agile jamming signal passes through the matched filter of the radar system, the jamming output signal waveform y is obtained. J (t), whose expression is:

[0143] y J (t)=jn(t)*h(t)=s(t)*jm(t)*h(t),

[0144] Interference output signal waveform y J The signal modulated by the signal jm(t) directly determines the effectiveness of the radar system in target detection or tracking, and also the effectiveness of active radar jamming. The jamming modulation waveform jm(t) determines the output signal waveform y. J Therefore, it can be considered that the interference modulation waveform jm(t) directly determines the effect of radar active smart jamming.

[0145] The interference modulation waveform library includes noise modulation waveforms, signal function modulation waveforms, and composite noise and signal function modulation waveforms. If the smart interference waveform information is one of the following: noise modulation waveform, signal function modulation waveform, or composite noise and signal function modulation waveform, the interference modulation waveform library determines the smart interference modulation waveform based on the smart interference waveform information and outputs the smart interference modulation waveform.

[0146] The interference modulation waveform design rule base includes detection signal-to-noise ratio criteria, mutual information criteria, waveform Euclidean distance criteria, and cross-correlation function criteria.

[0147] When the smart interference waveform information is the waveform with the minimum radar detection signal-to-noise ratio, the interference modulation waveform design rule library selects the detection signal-to-noise ratio criterion and sends the detection signal-to-noise ratio criterion to the interference modulation waveform design module.

[0148] The aforementioned detection signal-to-noise ratio criterion uses the radar detection signal-to-noise ratio as the interference evaluation index, establishes a quantitative relationship between the radar detection signal-to-noise ratio and the interference modulation waveform parameters, takes minimizing the radar's correct detection probability as the objective function, and uses the range of values ​​for the interference modulation waveform parameters as constraints to establish a first interference modulation waveform optimization model. An optimization solution method is used to solve the first interference modulation waveform optimization model to obtain the optimal values ​​of the interference modulation waveform parameters. Using the optimal values ​​of the interference modulation waveform parameters, a corresponding agile interference modulation waveform is generated.

[0149] When the smart interference waveform information is the waveform with the minimum mutual information, the interference modulation waveform design rule base selects the mutual information criterion and sends the mutual information criterion to the interference modulation waveform design module.

[0150] The mutual information criterion uses waveform mutual information as an interference evaluation index to establish a quantitative relationship between waveform mutual information and interference modulation waveform parameters. The objective function is to minimize the mutual information between the interference output signal waveform and the radar output signal waveform. The range of values ​​for the interference modulation waveform parameters is used as a constraint to establish a second interference modulation waveform optimization model. An optimization solution method is used to solve the second interference modulation waveform optimization model to obtain the optimal values ​​of the interference modulation waveform parameters. The optimal values ​​of the interference modulation waveform parameters are then used to generate the corresponding smart interference modulation waveform.

[0151] Interference output signal waveform y J (t) and radar output signal waveform y s The mutual information I(y) between (t) J (t),y s (t)), its expression is:

[0152]

[0153] Among them, Y J(f) is y J The spectrum function of Y(t), s (f) is y s The spectrum function of Y(t), [B1,B2] is the spectrum function of Y(t). J (f) and Y s The frequency domain range of (f), P nn (f) represents the spectrum of the received noise of the matched filter in the radar system, where f denotes the frequency. The received noise of the matched filter in the radar system is additive white Gaussian noise.

[0154] When the smart interference waveform information is the waveform with the maximum Euclidean distance, the interference modulation waveform design rule library selects the waveform Euclidean distance criterion and sends the waveform Euclidean distance criterion to the interference modulation waveform design module.

[0155] The waveform Euclidean distance criterion uses the waveform Euclidean distance as an interference evaluation index to establish a quantitative relationship between the waveform Euclidean distance and the interference modulation waveform parameters. The objective function is to maximize the waveform Euclidean distance between the interference output signal waveform and the radar output signal waveform. The constraint condition is the range of values ​​of the interference modulation waveform parameters. A third interference modulation waveform optimization model is established. An optimization solution method is used to solve the third interference modulation waveform optimization model to obtain the optimal values ​​of the interference modulation waveform parameters. The optimal values ​​of the interference modulation waveform parameters are then used to generate the corresponding smart interference modulation waveform.

[0156] Interference output signal waveform y J (t) and radar output signal waveform y s The waveform Euclidean distance D(y) between (t) and (t) J (t),y s (t)), its expression is:

[0157]

[0158] Where [t3,t4] is the waveform of the interference output signal y J (t) and radar output signal waveform y s The duration range of (t).

[0159] When the smart interference waveform information is the waveform with the minimum cross-correlation function, the interference modulation waveform design rule library selects the cross-correlation function criterion and sends the cross-correlation function criterion to the interference modulation waveform design module.

[0160] The cross-correlation function criterion uses the cross-correlation function as an interference evaluation index to establish a quantitative relationship between the cross-correlation function and the interference modulation waveform parameters. The objective function is to minimize the cross-correlation function between the smart jamming signal waveform and the radar transmitted signal. The constraint condition is the range of values ​​for the interference modulation waveform parameters. A fourth interference modulation waveform optimization model is established. An optimization solution method is used to solve the fourth interference modulation waveform optimization model to obtain the optimal values ​​of the interference modulation waveform parameters. The optimal values ​​of the interference modulation waveform parameters are then used to generate the corresponding smart jamming modulation waveform.

[0161] The cross-correlation function R(jn(t),s(t)) between the smart jamming signal waveform jn(t) and the radar transmitted signal s(t) is expressed as follows:

[0162]

[0163] Where [t1,t2] represents the duration range of the smart jamming signal waveform and the radar transmitted signal.

[0164] The interference modulation waveform design rule update module uses the received smart interference waveform information to generate corresponding interference modulation waveform design rules, including:

[0165] The interference modulation waveform design rule update module extracts information from the received smart interference waveform information to obtain the importance values ​​of the performance indicators of smart interference waveform design. Based on the importance values, it determines the corresponding weights of the interference modulation waveform design rules for each performance indicator. The objective function in the interference modulation waveform design rules is then weighted and summed using these weights to obtain an updated objective function. Similarly, the constraints in the interference modulation waveform design rules are weighted and summed using these weights to obtain updated constraints. Finally, using the updated objective function and constraints, the corresponding interference modulation waveform design rules are generated. The performance indicators of smart interference waveform design include the detection signal-to-noise ratio, mutual information, waveform Euclidean distance, and cross-correlation function.

[0166] This invention achieves flexible, complete, and adaptable interference waveform design, thereby improving the interference capability of active jamming systems against complex radar waveforms.

[0167] This invention provides design schemes for radar active jamming waveforms for three different scenarios. The waveform generation scheme for each active jamming module is different. To meet different jamming requirements, adaptive generation of jamming waveforms is achieved, improving the completeness and flexibility of the jamming waveforms.

[0168] When faced with new threats, this invention can dynamically generate corresponding interference signals in real time, and adjust the interference scheme and interference generation rules in real time according to changes in the threat and the interference effect. It has the ability to dynamically iterate, ensuring the real-time performance and effectiveness of the interference effect.

[0169] The above description is merely an embodiment of this application and is not intended to limit the scope of this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the scope of the claims of this application.

Claims

1. A radar active jamming waveform library, characterized in that, It includes a jamming task information acquisition and analysis module, a jamming parameter analysis and discrimination module, a spoofing jamming parameter analysis and discrimination module, a smart jamming parameter analysis and discrimination module, a jamming waveform module, a spoofing jamming waveform module, and a smart jamming waveform module; The jamming task information acquisition and parsing module is used to receive jamming task information, parse the received jamming task information to obtain jamming parameter information, and judge the jamming task information. If the jamming task is suppression jamming, the jamming parameter information is sent to the suppression jamming parameter parsing and judgment module; if the jamming task is deception jamming, the jamming parameter information is sent to the deception jamming parameter parsing and judgment module; if the jamming task is smart jamming, the jamming parameter information is sent to the smart jamming parameter parsing and judgment module. The suppression interference parameter analysis and discrimination module is connected to the suppression interference waveform module, the deception interference parameter analysis and discrimination module is connected to the deception interference waveform module, and the agile interference parameter analysis and discrimination module is connected to the agile interference waveform module; the interference parameter information received by the deception interference parameter analysis and discrimination module includes deception interference pattern information and deception interference waveform parameter information; The suppression interference waveform module includes a classic suppression interference waveform library, a suppression interference waveform design rule library, a suppression interference waveform design rule update module, and a suppression interference waveform design module; the classic suppression interference waveform library and the suppression interference waveform design rule library are both connected to the suppression interference parameter analysis and discrimination module; the suppression interference waveform design rule library, the suppression interference waveform design rule update module, and the suppression interference waveform design module are interconnected, and the suppression interference waveform design module is connected to the classic suppression interference waveform library; The deception interference waveform module includes a classic deception interference modulation parameter module, a deception interference modulation parameter optimization rule base, and a deception interference modulation parameter optimization module; both the classic deception interference modulation parameter module and the deception interference modulation parameter optimization rule base are connected to the deception interference parameter parsing and discrimination module; the deception interference modulation parameter optimization module is connected to both the deception interference modulation parameter optimization rule base and the classic deception interference modulation parameter module. The smart interference waveform module includes an interference modulation waveform library, an interference modulation waveform design rule library, an interference modulation waveform design rule update module, and an interference modulation waveform design module. Both the interference modulation waveform library and the interference modulation waveform design rule library are connected to the smart interference parameter analysis and discrimination module; The interference modulation waveform design rule base, the interference modulation waveform design rule update module, and the interference modulation waveform design module are interconnected. The interference modulation waveform design module is connected to the interference modulation waveform library; The interference suppression parameter analysis and discrimination module analyzes the received interference parameter information and extracts the interference suppression waveform information. When the suppression interference waveform design rule base does not contain a suppression interference waveform design rule that matches the suppression interference waveform information, the suppression interference waveform design rule update module uses the suppression interference waveform information to establish a suppression interference waveform probability optimization model according to the information entropy maximization criterion. The smart interference parameter analysis and discrimination module analyzes the received interference parameter information and extracts the smart interference waveform information; If the interference modulation waveform design rule base does not contain interference modulation waveform design rules that match the smart interference waveform information, then the received smart interference waveform information is sent to the interference modulation waveform design rule update module. The interference modulation waveform design rule update module uses the received smart interference waveform information to generate corresponding interference modulation waveform design rules, and sends the generated interference modulation waveform design rules to the interference modulation waveform design rule library and the interference modulation waveform design module. The interference modulation waveform design rule base includes detection signal-to-noise ratio criteria, mutual information criteria, waveform Euclidean distance criteria, and cross-correlation function criteria.

2. The radar active jamming waveform library as described in claim 1, characterized in that, The suppression interference parameter analysis and discrimination module discriminates the suppression interference waveform information. If the suppression interference waveform information is already contained in the classic suppression interference waveform library, the suppression interference waveform information is sent to the classic suppression interference waveform library; if the suppression interference waveform information is not contained in the classic suppression interference waveform library, the suppression interference waveform information is sent to the suppression interference waveform design rule library. After receiving the suppression interference waveform information, the classic suppression interference waveform library generates the corresponding suppression interference waveform based on the suppression interference waveform information. After receiving the suppression interference waveform information, the suppression interference waveform design rule library determines whether it contains a suppression interference waveform design rule that matches the suppression interference waveform information. If it does, the matching suppression interference waveform design rule is sent to the suppression interference waveform design module; otherwise, the suppression interference waveform information is sent to the suppression interference waveform design rule update module. The suppression interference waveform design module uses the received suppression interference waveform design rules to generate suppression interference waveform generation parameters. Using the suppression interference waveform generation parameters, it generates and outputs the suppression interference waveform. The suppression interference waveform and its corresponding suppression interference waveform information are sent to the classic suppression interference waveform library. The classic suppression interference waveform library saves the received suppression interference waveform and its corresponding suppression interference waveform information. The suppression interference waveform design rule update module uses the received suppression interference waveform information to generate corresponding suppression interference waveform design rules, and sends the generated suppression interference waveform design rules to the suppression interference waveform design module and the suppression interference waveform design rule library.

3. The radar active jamming waveform library as described in claim 2, characterized in that, The suppression interference waveform design rule update module uses the received suppression interference waveform information to generate corresponding suppression interference waveform design rules, and sends the generated suppression interference waveform design rules to the suppression interference waveform design module, including: When the suppression interference waveform design rule base does not contain a suppression interference waveform design rule that matches the suppression interference waveform information, the suppression interference waveform design rule update module uses the suppression interference waveform information and establishes a suppression interference waveform probability optimization model based on the information entropy maximization criterion. The expression for this model is: ， ， in, weight vector v The probability distribution value of the total interference waveform. m 0 represents the number of interfering sub-beams, [ a , b [This represents the range of values ​​for the total interference waveform.] Let be the probability distribution function of the first interference sub-waveform, and so on. For the first m The probability distribution function of 0 interfering sub-waveforms. The constraint value is the probability distribution function of the first interference sub-waveform, and so on. For the first Limits on the probability distribution function of each interference sub-waveform. p To suppress interference waveform parameters, F ( x , p Let be the probability distribution function of the total interference waveform, and its expression is: , in, v For weight vectors, , This represents the weighted value of the first interference sub-waveform, and so on. Indicates the first m The weighted values ​​of 0 interference sub-waveforms; the probability optimization model for suppressing interference waveforms is used as the design rule for suppressing interference waveforms and sent to the suppression interference waveform design module and the suppression interference waveform design rule library.

4. The radar active jamming waveform library as described in claim 1, characterized in that, The classic deception jamming modulation parameter module includes deception jamming style information, such as false target deception jamming, dense false target suppression jamming, range gate dragging jamming, velocity gate dragging jamming, and angle deception jamming. The deception jamming waveform parameter information for false target deception jamming includes the number of false targets, jamming signal frequency, delay time, and amplitude. The deception jamming waveform parameter information for dense false target suppression jamming includes the jamming signal frequency, start delay time, jamming replication interval, number of jamming replications, and signal amplitude. Range gate dragging jamming is divided into four stages: acquisition, dragging, dwell, and stop. The deception jamming waveform parameter information for each stage includes the jamming signal amplitude and continuously changing delay time. The deception jamming waveform parameter information for velocity gate dragging jamming includes the jamming signal amplitude and continuously changing Doppler frequency shift parameters. The deception jamming waveform parameter information for angle deception jamming includes the signal frequency, jamming signal amplitude, phase, and amplitude ratio and phase difference between multiple channels. The deception interference parameter parsing and discrimination module parses the received interference parameter information and extracts the deception interference pattern information; it then discriminates the deception interference pattern information. If the classic deception interference modulation parameter module includes the deception interference pattern information, the module sends the interference parameter information to the classic deception interference modulation parameter module. If the classic spoofing interference modulation parameter module does not include the spoofing interference style information, then the interference parameter information is sent to the spoofing interference modulation parameter optimization rule library; After receiving the interference parameter information, the classic deception jamming modulation parameter module determines the corresponding deception jamming style information and deception jamming waveform parameter information based on the interference parameter information, then determines the corresponding deception jamming modulation parameters, and outputs the determined deception jamming modulation parameters. The deception interference modulation parameter optimization rule base searches for the deception interference modulation parameter optimization rules it contains based on the received interference parameter information. If it contains a deception interference modulation parameter optimization rule that matches the received interference parameter information, the matching deception interference modulation parameter optimization rule is sent to the deception interference modulation parameter optimization module. If it does not contain a deception interference modulation parameter optimization rule that matches the received interference parameter information, the received interference parameter information is sent to the deception interference modulation parameter optimization module. The deception interference modulation parameter optimization module generates deception interference modulation parameters using the received deception interference modulation parameter optimization rules, or generates corresponding deception interference modulation parameter optimization rules based on the received interference parameter information, and generates deception interference modulation parameters using the deception interference modulation parameter optimization rules; after generating the deception interference modulation parameters, the deception interference modulation parameter optimization module sends the deception interference modulation parameters and the corresponding interference parameter information to the classic deception interference modulation parameter module; the classic deception interference modulation parameter module saves the received deception interference modulation parameters and the corresponding interference parameter information.

5. The radar active jamming waveform library as described in claim 4, characterized in that, The deception interference modulation parameter optimization rule base includes intermittent sampling forwarding interference optimization rules and deep reinforcement learning waveform parameter optimization rules. When the deception interference pattern information in the interference parameter information received by the deception interference modulation parameter optimization rule base is intelligent deception interference, the deception interference modulation parameter optimization rule base sends the deep reinforcement learning waveform parameter optimization rules to the deception interference modulation parameter optimization module. The deep reinforcement learning waveform parameter optimization rule uses deception jamming modulation parameters as actions, the range of values ​​for deception jamming modulation parameters as an action library, radar transmitted waveform, electromagnetic environment information, radar received waveform, and radar target detection and tracking results as the environment, the signal-to-noise ratio of the radar received waveform pulse compression and the probability of correct radar target detection as the state, and the change in state value before and after each action change as the reward value. Using a deep reinforcement learning algorithm, a deep reinforcement learning network for active radar deception jamming is established. The deep reinforcement learning network is trained, and the optimal action value is obtained using the trained deep reinforcement learning network. The optimal action value is then used as the deception jamming modulation parameter generated by the deception jamming modulation parameter optimization module. When the deception interference pattern information in the interference parameter information received by the deception interference modulation parameter optimization rule base is intermittent sampling forwarding interference, the deception interference modulation parameter optimization rule base sends the intermittent sampling forwarding interference optimization rule to the deception interference modulation parameter optimization module. The intermittent sampling forwarding interference optimization rule establishes the relationship between the interference effect of intermittent sampling forwarding interference and the quantization of the pulse parameters of the intermittent sampling signal. With the goal of maximizing the interference effect, an optimization model for deception interference modulation parameters is established. The optimization algorithm is used to solve the optimization model for deception interference modulation parameters to obtain the optimal value of the deception interference modulation parameters. The optimal value of the deception interference modulation parameters is used as the deception interference modulation parameters generated by the deception interference modulation parameter optimization module.

6. The radar active jamming waveform library as described in claim 1, characterized in that, The smart interference parameter analysis and discrimination module discriminates the smart interference waveform information. If the smart interference waveform information is already contained in the interference modulation waveform library, the smart interference waveform information is sent to the interference modulation waveform library. If the smart interference waveform information is not contained in the interference modulation waveform library, the smart interference waveform information is sent to the interference modulation waveform design rule library. After receiving the smart interference waveform information, the interference modulation waveform library determines the smart interference modulation waveform based on the smart interference waveform information and outputs the smart interference modulation waveform. The interference modulation waveform design rule base searches for the interference modulation waveform design rules contained in the received smart interference waveform information. If it contains an interference modulation waveform design rule that matches the smart interference waveform information, the matching interference modulation waveform design rule is sent to the interference modulation waveform design module. The interference modulation waveform design module uses the received interference modulation waveform design rules to generate a corresponding smart interference modulation waveform and outputs the generated smart interference modulation waveform. The interference modulation waveform design module will send the smart interference modulation waveform generated by the interference modulation waveform design rules generated by the interference modulation waveform design rule update module, and the corresponding smart interference waveform information, to the interference modulation waveform library. The interference modulation waveform library will save the received smart interference modulation waveform and the corresponding smart interference waveform information.

7. The radar active jamming waveform library as described in claim 6, characterized in that, The interference modulation waveform library includes noise modulation waveforms, signal function modulation waveforms, and composite noise and signal function modulation waveforms. If the smart interference waveform information is one of noise modulation waveforms, signal function modulation waveforms, or composite noise and signal function modulation waveforms, the interference modulation waveform library determines the smart interference modulation waveform based on the smart interference waveform information and outputs the smart interference modulation waveform.

8. The radar active jamming waveform library as described in claim 6, characterized in that, When the smart jamming waveform information is the waveform with the minimum radar detection signal-to-noise ratio, the jamming modulation waveform design rule base selects the detection signal-to-noise ratio criterion and sends the detection signal-to-noise ratio criterion to the jamming modulation waveform design module. The detection signal-to-noise ratio criterion uses the radar detection signal-to-noise ratio as the interference evaluation index, establishes a quantitative relationship between the radar detection signal-to-noise ratio and the interference modulation waveform parameters, takes minimizing the radar's correct detection probability as the objective function, and uses the range of values ​​of the interference modulation waveform parameters as constraints to establish a first interference modulation waveform optimization model. An optimization solution method is used to solve the first interference modulation waveform optimization model to obtain the optimal values ​​of the interference modulation waveform parameters. The optimal values ​​of the interference modulation waveform parameters are then used to generate the corresponding agile interference modulation waveform. When the smart interference waveform information is the waveform with the minimum mutual information, the interference modulation waveform design rule base selects the mutual information criterion and sends the mutual information criterion to the interference modulation waveform design module. The mutual information criterion uses waveform mutual information as an interference evaluation index to establish a quantitative relationship between waveform mutual information and interference modulation waveform parameters. The objective function is to minimize the mutual information between the interference output signal waveform and the radar output signal waveform. The constraint is the range of values ​​of the interference modulation waveform parameters. A second interference modulation waveform optimization model is established. An optimization solution method is used to solve the second interference modulation waveform optimization model to obtain the optimal values ​​of the interference modulation waveform parameters. The optimal values ​​of the interference modulation waveform parameters are then used to generate the corresponding smart interference modulation waveform. When the smart interference waveform information is the waveform with the maximum Euclidean distance, the interference modulation waveform design rule library selects the waveform Euclidean distance criterion and sends the waveform Euclidean distance criterion to the interference modulation waveform design module. The waveform Euclidean distance criterion uses waveform Euclidean distance as an interference evaluation index to establish a quantitative relationship between waveform Euclidean distance and interference modulation waveform parameters. The objective function is to maximize the waveform Euclidean distance between the interference output signal waveform and the radar output signal waveform. The constraint condition is the range of values ​​of the interference modulation waveform parameters. A third interference modulation waveform optimization model is established. An optimization solution method is used to solve the third interference modulation waveform optimization model to obtain the optimal value of the interference modulation waveform parameters. The optimal value of the interference modulation waveform parameters is used to generate the corresponding smart interference modulation waveform. When the smart interference waveform information is the waveform with the minimum cross-correlation function, the interference modulation waveform design rule library selects the cross-correlation function criterion and sends the cross-correlation function criterion to the interference modulation waveform design module. The cross-correlation function criterion uses the cross-correlation function as an interference evaluation index to establish a quantitative relationship between the cross-correlation function and the interference modulation waveform parameters. The objective function is to minimize the cross-correlation function between the smart jamming signal waveform and the radar transmitted signal. The constraint condition is the range of values ​​for the interference modulation waveform parameters. A fourth interference modulation waveform optimization model is established. An optimization solution method is used to solve the fourth interference modulation waveform optimization model to obtain the optimal values ​​of the interference modulation waveform parameters. The optimal values ​​of the interference modulation waveform parameters are then used to generate the corresponding smart jamming modulation waveform.

9. The radar active jamming waveform library as described in claim 6, characterized in that, The interference modulation waveform design rule update module uses the received smart interference waveform information to generate corresponding interference modulation waveform design rules, including: The interference modulation waveform design rule update module extracts information from the received smart interference waveform information to obtain the importance value of the performance indicators of smart interference waveform design. Based on the importance value, it determines the corresponding weight of the interference modulation waveform design rule for each performance indicator. It then uses the weights to perform a weighted summation of the objective function in the interference modulation waveform design rule to obtain an updated objective function. Similarly, it uses the weights to perform a weighted summation of the constraints in the interference modulation waveform design rule to obtain updated constraints. Finally, it uses the updated objective function and constraints to generate the corresponding interference modulation waveform design rule. The performance indicators of smart interference waveform design include detection signal-to-noise ratio, mutual information, waveform Euclidean distance, and cross-correlation function.

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