Radar target detection method based on signal source detection symbiosis

Abstract

The invention discloses a radar target detection method based on signal source detection symbiosis, and the method comprises the steps: carrying out the radar target detection and signal generation through combining baseband waveform signals of a radar and a signal source with a waveform noise frequency modulation signal, and taking a detection signal, received by the radar, of an opposite radar as a direct wave signal; an echo signal model is constructed for echo signals detected and received by the radar, a detection target cost function is constructed, the detection target cost function is solved by using a two-dimensional smooth filtering recovery method, and parameter estimation of the target distance and speed is realized. According to the scheme, in a complex electronic countermeasure environment, the waveform noise frequency modulation signal is designed and integrated on the radar target detection and signal generation level, the baseband waveform signals of the radar and the signal source are compounded and integrated into the waveform noise frequency modulation signal, and the problem of radar signal source integrated symbiosis is solved from the waveform transmitting and receiving processing algorithm level; and target detection performance is improved while direct wave interference signals of the opposite radar are effectively suppressed.

Description

Technical Field

[0001] This invention belongs to the field of radar signal processing, specifically relating to a radar target detection method based on signal source detection symbiosis. Background Technology

[0002] The integrated radar and signal source system for complex electromagnetic environments has become a research hotspot and challenge in the field of radar signal processing. The key challenge lies in maximizing the utilization of array hardware resources, integrating software functions to improve radar and jamming scheduling, thereby enhancing radar target detection probability while simultaneously interfering with the opponent's radar system—achieving a dual benefit. However, the integrated use of radar and signal sources presents numerous challenges. Since the jamming signal emitted by the signal source must be on the same frequency band as the opponent's radar, this inevitably leads to mutual interference between the direct-wave signals emitted by the opponent's radar and the radar's own system, thus affecting its normal target detection. Therefore, for the integrated use of radar and signal sources, and the symbiotic configuration of the system, the crucial issue is how to solve the problem of direct-wave interference in the radar's own detection, effectively suppressing the energy of related jamming signals while simultaneously disrupting the opponent's normal detection capabilities.

[0003] Chinese patent document CN118707462A proposes a method for a digitally reconfigurable radar jamming device. This method primarily addresses the modularity issue inherent in radar jamming devices, which typically lack reconfigurable array scale. It proposes a method for handling the entire process from the antenna hardware array components, encompassing both the receiving and transmitting links. However, this method implements the receiving and transmitting links through the same switch and power divider; furthermore, it controls the array's transmit and receive scale using different numbers of transceiver units. However, this method does not consider issues such as waveform usage, the impact of direct waves emitted by the opposing radar operating in the same frequency band as the target radar, and other related problems. Therefore, this method lacks universality and does not specifically address key issues encountered in radar jamming coexistence, such as waveform usage.

[0004] A radar detection and interference integrated waveform design method is proposed in *Systems Engineering and Electronics Technology*, 2025, Vol.13, pp:201-214. This method intercepts the blue force radar signal to achieve interference modulation, performs range-Doppler modulation on the intercepted signal, and then transmits a dense false target signal. The detection signal is then hidden within the interference signal and processed as an integrated waveform with joint reception, suppressing the interference signal received by the receiver while improving the radar's detection performance. However, this method uses the detection signal parasitic on the blue force radar waveform for covert detection, making it unsuitable for independent detection and lacking good low intercept characteristics. It can only generate a dense false target interference signal for deception and does not consider the direct wave interference of the opponent's radar signal. Summary of the Invention

[0005] To address the aforementioned problems, the present invention aims to provide a radar target detection method based on signal source detection symbiosis. This method solves the problem of integrated radar signal source symbiosis in complex electronic warfare environments by addressing the waveform transmission, reception, and processing algorithm level. It effectively suppresses direct-wave interference signals from the opposing radar while improving target detection performance.

[0006] The specific technical solution for achieving the objective of this invention is as follows:

[0007] A radar target detection method based on signal source detection symbiosis includes the following steps:

[0008] Step 1: Design an integrated waveform noise frequency modulated signal, which combines the baseband waveform signals of the radar and the signal source with an integrated waveform noise frequency modulated signal for radar target detection and signal generation;

[0009] Step 2: Based on the detection signal received by the radar from the other radar as the direct wave signal, construct an echo signal model for the echo signal received by the radar itself.

[0010] Step 3: Construct the target detection cost function by combining the target parameters to be estimated and the echo signal model;

[0011] Step 4: Solve the cost function of the detected target using the two-dimensional smoothing filter recovery method to estimate the parameters of the target distance and velocity.

[0012] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0013] In complex electronic warfare environments, the present invention integrates a waveform noise frequency-modulated signal at the radar target detection and signal generation levels. This signal combines the baseband waveform signals of the radar and signal source with the waveform noise frequency-modulated signal. Utilizing its inherent random characteristics similar to noise, it can be used as a jamming waveform to interfere with the opponent's normal detection, effectively raising the opponent's target detection threshold and increasing the probability of false alarms. At the same time, the random characteristics similar to noise can effectively form a pinhead-shaped waveform ambiguity function, which can help the radar perform normal target detection.

[0014] This solution addresses the issue of integrated symbiosis of radar signal sources at the waveform transmission, reception, and processing algorithm level, effectively suppressing direct wave interference signals from the opposing radar while improving target detection performance.

[0015] The present invention will be further described below with reference to specific embodiments. Attached Figure Description

[0016] Figure 1 This is a schematic diagram of the radar target detection method based on signal source detection symbiosis of the present invention.

[0017] Figure 2This is a radar range and velocity detection diagram of the target in an embodiment of the present invention.

[0018] Figure 3 This is a comparison chart of the detection results of the method in the embodiment of the present invention and the conventional method. Detailed Implementation

[0019] Example

[0020] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. The described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0021] As indicated in this application and claims, unless the context clearly indicates otherwise, the words "a," "an," "an," and / or "the" do not specifically refer to the singular and may also include the plural. Generally speaking, the terms "comprising" and "including" only indicate the inclusion of explicitly identified steps and elements, which do not constitute an exclusive list, and the method or apparatus may also include other steps or elements.

[0022] Unless otherwise specifically stated, the relative arrangement, numerical expressions, and values ​​of the components and steps described in these embodiments do not limit the scope of this application. It should also be understood that, for ease of description, the dimensions of the various parts shown in the drawings are not drawn to actual scale. Techniques, methods, and devices known to those skilled in the art may not be discussed in detail, but where appropriate, such techniques, methods, and devices should be considered part of the specification. In all examples shown and discussed herein, any specific values ​​should be interpreted as merely exemplary and not as limitations. Therefore, other examples of exemplary embodiments may have different values. It should be noted that similar reference numerals and letters in the following drawings denote similar items; therefore, once an item is defined in one drawing, it need not be further discussed in subsequent drawings.

[0023] Combination Figure 1 A radar target detection method based on signal source detection symbiosis includes the following steps:

[0024] Step 1: Design an integrated waveform noise frequency modulated signal, which combines the baseband waveform signals of the radar and the signal source with an integrated waveform noise frequency modulated signal for radar target detection and signal generation;

[0025] The composite integrated waveform noise frequency modulation signal is:

[0026]

[0027]

[0028] in, This indicates the carrier frequency emitted by the radar and signal source. Indicates the amplitude of the noise frequency-modulated signal. For phase terms, The signal is a noise-modulated signal, which is a generalized Gaussian random process signal with zero mean. This represents the frequency modulation slope.

[0029] Step 2: Based on the detection signal received by the radar from the opposing radar as the direct wave signal, construct an echo signal model for the echo signal received by the radar itself:

[0030]

[0031]

[0032] in, This indicates the echo received by the radar receiver. This represents a composite integrated waveform noise frequency-modulated signal. Indicates noise signal, This represents the direct wave signal transmitted by the opponent's radar and entering the radar receiver. Assume the direct wave signal is a composite signal consisting of P signals with different frequency phases. Let represent the amplitude of the i-th signal among P signals of different frequencies and phases. This represents the phase of the i-th signal.

[0033] Assuming the radar receiver's sampling rate is fs, the discretized form, arranged according to the range Doppler two-dimensional matrix, is as follows:

[0034]

[0035] Where the matrix A dictionary representing the time delay matrix of a noisy FM signal. This represents the target signal matrix to be recovered. A dictionary representing the Doppler matrix of a noisy frequency-modulated signal. A dictionary representing the time delay matrix of the opponent's radar transmitted signal. This represents the matrix of the direct wave signal to be recovered. A dictionary representing the Doppler matrix of the opponent's radar transmitted signals. This represents the noise signal matrix.

[0036] Step 3: Construct the target detection cost function by combining the target parameters to be estimated and the echo signal model:

[0037]

[0038]

[0039] Among them, parameters Represents the regularization parameter. This indicates finding the 1-norm of a matrix. This indicates finding the 2-norm of a matrix, with parameters... This represents the error of the two-dimensional regularization parameter.

[0040] Step 4: Solve the cost function of the detected target using the two-dimensional smoothing filter recovery method to estimate the parameters of the target distance and velocity.

[0041] The alternating direction multiplication operator algorithm in the two-dimensional smoothing filter recovery method is used to solve the cost function of the detected target, thereby obtaining the distance parameter of the target signal to be recovered. and Doppler parameters This allows for the estimation and measurement of target parameters.

[0042] In this implementation, it is assumed that an integrated radar signal source system operates at a frequency of 3 GHz, and the transmitted signals of the radar and signal source are set to a noise-modulated integrated waveform with a bandwidth of 10 MHz and a pulse width of 10 μs. The opposing radar uses a linear frequency modulated (LFM) signal to detect the target, and the bandwidth and pulse width of the LFM signal are consistent with the integrated waveform. The radar system sampling rate is set to 20 MHz, the interference-to-signal ratio (ISR) of the direct wave interference relative to the first simulated target is set to 25 dB, and the SNR of the first simulated target is set to 10 dB. Three simulated targets are set in the scenario, with the following settings for scattering intensity, velocity gate, and range gate: (0, 40, 5), (5, 80, 25), and (10, 60, 8). After the ISR of the direct wave interference increases from 0 dB to 30 dB, the root mean square error between the target's range and velocity and the true range and velocity under different ISR conditions is calculated. The performance of the method of this invention is quantitatively determined by comparing the results of traditional pulse compression methods and the method of this invention, and the effectiveness of the method of this invention is finally analyzed.

[0043] like Figure 2 The image shown is a range Doppler detection diagram of the opposing radar receiver after traditional pulse compression processing. It can be seen that the opposing radar cannot detect the target in the scene normally when it receives the signal transmitted by the signal source of the present invention.

[0044] like Figure 3The diagram shows two-dimensional detection maps of target distance and velocity detected by the method of this invention and by the traditional pulse compression method. It can be seen that all three simulated targets in the scene can be detected correctly, but the traditional pulse compression method can no longer detect the targets properly. This fully verifies the effectiveness and feasibility of the method of this invention.

[0045] This solution also provides a radar target detection system based on signal source detection symbiosis, including the following modules:

[0046] Composite integrated waveform noise FM signal generation module: used to design integrated waveform noise FM signals, and to combine the baseband waveform signals of radar and signal source into integrated waveform noise FM signals for radar target detection and signal generation;

[0047] Echo signal module: Used to construct an echo signal model based on the detection signal received by the radar from the other radar as the direct wave signal;

[0048] Target detection module: This module is used to construct a target detection cost function by combining the target parameters to be estimated and the echo signal model. It then uses a two-dimensional smoothing filter recovery method to solve the target detection cost function, thereby estimating the target distance and velocity parameters.

[0049] This solution also provides a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to perform the following steps:

[0050] Step 1: Design an integrated waveform noise frequency modulated signal, which combines the baseband waveform signals of the radar and the signal source with an integrated waveform noise frequency modulated signal for radar target detection and signal generation;

[0051] Step 2: Based on the detection signal received by the radar from the other radar as the direct wave signal, construct an echo signal model for the echo signal received by the radar itself.

[0052] Step 3: Construct the target detection cost function by combining the target parameters to be estimated and the echo signal model;

[0053] Step 4: Solve the cost function of the detected target using the two-dimensional smoothing filter recovery method to estimate the parameters of the target distance and velocity.

[0054] This solution also provides a computer-readable storage medium on which a computer program is stored, wherein the computer program, when executed by a processor, performs the following steps:

[0055] Step 1: Design an integrated waveform noise frequency modulated signal, which combines the baseband waveform signals of the radar and the signal source with an integrated waveform noise frequency modulated signal for radar target detection and signal generation;

[0056] Step 2: Based on the detection signal received by the radar from the other radar as the direct wave signal, construct an echo signal model for the echo signal received by the radar itself.

[0057] Step 3: Construct the target detection cost function by combining the target parameters to be estimated and the echo signal model;

[0058] Step 4: Solve the cost function of the detected target using the two-dimensional smoothing filter recovery method to estimate the parameters of the target distance and velocity.

[0059] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the invention patent. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this patent application should be determined by the appended claims.

Claims

1. A radar target detection method based on signal source detection symbiosis, characterized in that, Includes the following steps: Step 1: Design an integrated waveform noise frequency modulation signal, which combines the baseband waveform signals of the radar and the signal source with an integrated waveform noise frequency modulation signal for radar target detection and signal generation; Step 2: Based on the detection signal received by the radar from the other radar as the direct wave signal, construct an echo signal model for the echo signal received by the radar itself. Step 3: Construct the target detection cost function by combining the target parameters to be estimated and the echo signal model; Step 4: Solve the cost function of the detected target using the two-dimensional smoothing filter recovery method to estimate the parameters of the target distance and velocity.

2. The radar target detection method based on signal source detection symbiosis according to claim 1, characterized in that, The composite integrated waveform noise frequency modulation signal in step 1 is: ； ； in, This indicates the carrier frequency emitted by the radar and signal source. Indicates the amplitude of the noise frequency-modulated signal. For phase terms, The signal is a noise-modulated signal, which is a generalized Gaussian random process signal with zero mean. This represents the frequency modulation slope.

3. The radar target detection method based on signal source detection symbiosis according to claim 1, characterized in that, The echo signal model constructed from the radar-detected echo signal in step 2 is as follows: ； ； in, This indicates the echo received by the radar receiver. This represents a composite integrated waveform noise frequency-modulated signal. Indicates noise signal, This indicates the direct wave signal transmitted by the other party's radar and received by the radar receiver. Let represent the amplitude of the i-th signal among P signals of different frequencies and phases. This represents the phase of the i-th signal.

4. The radar target detection method based on signal source detection symbiosis according to claim 1, characterized in that, The target cost function constructed in step 3 is: ； ； ； Among them, matrix A dictionary representing the time delay matrix of a noisy FM signal. This represents the target signal matrix to be recovered. A dictionary representing the Doppler matrix of a noisy frequency-modulated signal. A dictionary representing the time delay matrix of the opponent's radar transmitted signal. This represents the matrix of the direct wave signal to be recovered. A dictionary representing the Doppler matrix of the opponent's radar transmitted signals. Represents the noise signal matrix; parameter Represents the regularization parameter. This indicates finding the 1-norm of a matrix. This indicates finding the 2-norm of a matrix, with parameters... This represents the error of the two-dimensional regularization parameter.

5. The radar target detection method based on signal source detection symbiosis according to claim 4, characterized in that, The target detection cost function is solved using a two-dimensional smoothing filter recovery method to obtain the distance parameter of the target signal to be recovered. and Doppler parameters This allows for the estimation and measurement of target parameters.

6. A radar target detection system based on signal source detection symbiosis, characterized in that, Includes the following modules: Composite integrated waveform noise FM signal generation module: used to design integrated waveform noise FM signals, and to combine the baseband waveform signals of radar and signal source into integrated waveform noise FM signals for radar target detection and signal generation; Echo signal module: Used to construct an echo signal model based on the detection signal received by the radar from the other radar as the direct wave signal; Target detection module: It is used to construct the target detection cost function by combining the target parameters to be estimated and the echo signal model, and solve the target detection cost function by using the two-dimensional smoothing filter recovery method to realize the parameter estimation of target distance and velocity.

7. A computer device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1-5.

8. A computer-storable medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1-5.

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