An adaptive adjustment method for wave radar anti-interference

Abstract

The present invention provides an adaptive adjustment method for wave radar anti-interference, which belongs to the technical field of interference adjustment. The method comprises: step 1: transmitting a radar signal based on a target wave radar, and collecting an original echo signal after interference from a radar receiver; step 2: analyzing and extracting the interference signal in the original echo signal, and identifying the type of the interference signal; step 3: matching an adaptive filter coefficient based on the type of the interference signal, initializing an adaptive filter to obtain a first adaptive filter; step 4: using a frequency hopping waveform technology to perform time dispersion processing on the frequency of the interference signal, inputting the first adaptive filter to obtain a signal adjustment parameter, and configuring to obtain a final adaptive filter; step 5: adjusting the target wave radar based on the final adaptive filter, and evaluating the adjustment result. Radar interference is effectively suppressed through adaptive filtering and frequency hopping processing, and signal processing accuracy is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of interference adjustment, and in particular to an adaptive adjustment method for wave radar anti-interference. Background Art

[0002] At present, wave radar is widely used in modern military, civil and scientific fields, especially in target detection, tracking and identification. As an efficient signal processing method, adaptive filtering technology has significant advantages in the field of anti-interference. It can dynamically adjust the filter coefficient according to the received signal, thereby effectively suppressing the interference signal and retaining the target echo signal, thereby improving the anti-interference performance of the radar system. However, the usual anti-interference method cannot be adjusted in real time according to the interference situation, resulting in low signal recognition accuracy and general anti-interference performance.

[0003] Therefore, the present invention proposes an adaptive adjustment method for wave radar anti-interference. Summary of the invention

[0004] The present invention provides an adaptive adjustment method for anti-interference of a frequency radar, which is used for acquiring interference echo signals from a radar receiver, analyzing and identifying interference types; matching interference types with adaptive filter coefficients, initializing a first adaptive filter; using frequency hopping waveform technology to disperse interference frequencies, obtaining adjustment parameters and configuring a final adaptive filter; finally, adjusting the radar and evaluating its effect, thereby improving the radar's anti-interference capability and signal processing performance.

[0005] On the one hand, the present invention provides an adaptive adjustment method for wave radar anti-interference, comprising:

[0006] Step 1: Transmit a radar signal based on the target wave radar, and collect the original echo signal after interference from the radar receiver;

[0007] Step 2: Analyze and extract the interference signal in the original echo signal and identify the type of interference signal;

[0008] Step 3: matching adaptive filter coefficients based on the interference signal type, initializing the adaptive filter to obtain a first adaptive filter;

[0009] Step 4: Use frequency hopping waveform technology to time-disperse the frequency of the interference signal, input it into the first adaptive filter to obtain signal adjustment parameters, and configure the final adaptive filter;

[0010] Step 5: Adjust the target wave radar based on the final adaptive filter and evaluate the adjustment results.

[0011] On the other hand, based on the target wave radar, the radar signal is emitted, including:

[0012] Select the target wave radar according to the radar mission requirements and configure the target wave radar according to the preset signal transmission frequency;

[0013] Select the signal modulation method, use the signal generator to produce the modulated radar signal, and transmit the radar signal based on the target wave radar.

[0014] On the other hand, the process of analyzing and extracting the interference signal from the original echo signal includes:

[0015] Amplifying the original echo signal by a low noise amplifier to obtain a first echo signal;

[0016] Based on the transmission conditioning unit, the first echo signal is converted into a digital signal sequence according to the time node;

[0017] According to the preset modulation frequency, m is used as a factor signal, where m is an integer greater than 0, and each unit signal of the first echo signal is processed by the mixing sequence through the ADC algorithm to obtain a digital signal sequence:

[0018] ;in, represents the digital signal at the kth time node, n represents the first echo signal has a total of n time nodes corresponding to the signal, D () represents the time conversion function, represents the time interval corresponding to the kth time node of the first echo signal, Indicates the starting time of the first echo signal. represents the first phase coefficient, represents the second phase coefficient, Represents the third phase coefficient.

[0019] On the other hand, the interference signal in the original echo signal is analyzed and extracted, and the type of interference signal is identified, including:

[0020] The digital signal sequence after the original echo signal is converted is obtained, and the digital signal sequence in the time domain is converted into a frequency domain signal in the frequency domain based on the signal conversion algorithm, specifically:

[0021] ;in, represents the frequency domain signal, r( ) represents the time autocorrelation function of the digital signal sequence, represents the time correlation coefficient;

[0022] The frequency domain signal is cross-correlatedly compared with a preset standard frequency domain signal to obtain a comparison signal. If it is detected that the peak value of any time node in the comparison signal is greater than the preset standard peak value, it is determined that an interference signal exists at the corresponding time node.

[0023] On the other hand, it also includes:

[0024] Extracting all time nodes where interference signals exist in the digital signal sequence to obtain interference signals, and identifying interference features of the interference signals according to frequency domain functions;

[0025] Based on the expert library of wave radar, the preset standard features and interference features are compared in waveform, and the interference type with the highest waveform matching degree is used as the type of the interference signal.

[0026] On the other hand, matching the adaptive filter coefficient based on the interference signal type, initializing the adaptive filter to obtain a first adaptive filter, including:

[0027] The adaptive filter coefficients are generated based on the interference signal type:

[0028] ;in, represents the adaptive filter coefficient of the mth time window, Indicates the center frequency corresponding to the interference type, Indicates the bandwidth corresponding to the interference type, Represents the order of the adaptive filter;

[0029] The adaptive filter coefficients are configured in the adaptive filter to complete initialization, thereby obtaining a first adaptive filter.

[0030] On the other hand, the frequency of the interference signal is time-dispersed using the frequency hopping waveform technology, input into the first adaptive filter to obtain the signal adjustment parameter, and the final adaptive filter is configured, including:

[0031] Setting the hopping time of any frequency in each preset frequency hopping set, generating a frequency hopping sequence, inserting the frequency hopping sequence into the interference signal according to the hopping time, reducing the energy of the interference signal in the insertion time interval, and forming a scattered signal;

[0032] Inputting the scattered signal into the first adaptive filter, outputting the comparison signal, comparing the comparison signal with the preset standard signal to generate an error, adjusting the filter coefficient according to the error, iteratively inputting the comparison signal until the error is less than the minimum error threshold and stopping the iteration, wherein the filter coefficient of the final iteration is used as the signal adjustment parameter;

[0033] The first adaptive filter is configured based on the signal adjustment parameters to obtain a final adaptive filter.

[0034] On the other hand, the target wave radar is adjusted based on the final adaptive filter, and the adjustment results are evaluated, including:

[0035] filtering each frame of radar signal received by a radar receiver in the target wave radar based on the final adaptive filter to obtain a filtered radar signal;

[0036] The signal-to-noise ratio of the filtered radar signal is evaluated. If the signal-to-noise ratio is higher than a preset threshold, the final adaptive filter is determined to meet the optimization result. Otherwise, the final adaptive filter is determined not to meet the optimization result, and the signal adjustment parameters of the final adaptive filter are adjusted in the opposite direction.

[0037] Compared with the prior art, the present invention has the following beneficial effects:

[0038] The present invention provides an adaptive adjustment method for anti-interference of a frequency radar, which is used for acquiring interference echo signals from a radar receiver, analyzing and identifying interference types; matching interference types with adaptive filter coefficients, initializing a first adaptive filter; using frequency hopping waveform technology to disperse interference frequencies, obtaining adjustment parameters and configuring a final adaptive filter; finally, adjusting the radar and evaluating its effect, thereby improving the radar's anti-interference capability and signal processing performance. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0040] Figure 1 The present invention is a flowchart of an adaptive adjustment method for wave radar anti-interference provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0041] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0042] Embodiment 1:

[0043] like Figure 1 As shown, an embodiment of the present invention provides an adaptive adjustment method for wave radar anti-interference, including:

[0044] Step 1: Transmit a radar signal based on the target wave radar, and collect the original echo signal after interference from the radar receiver;

[0045] Step 2: Analyze and extract the interference signal in the original echo signal and identify the type of interference signal;

[0046] Step 3: matching adaptive filter coefficients based on the interference signal type, initializing the adaptive filter to obtain a first adaptive filter;

[0047] Step 4: Use frequency hopping waveform technology to time-disperse the frequency of the interference signal, input it into the first adaptive filter to obtain signal adjustment parameters, and configure the final adaptive filter;

[0048] Step 5: Adjust the target wave radar based on the final adaptive filter and evaluate the adjustment results.

[0049] In this embodiment, the target wave radar refers to a radar system in the radar system used to detect and track target objects (such as aircraft, ships, ground targets, etc.).

[0050] In this embodiment, the radar signal is an electromagnetic wave emitted by a radar system, usually a high-frequency radio wave or microwave.

[0051] In this embodiment, the radar receiver is one of the key components in the radar system, which receives electromagnetic wave signals reflected from the target and processes these signals to extract information of the target.

[0052] In this embodiment, the original echo signal is an electromagnetic wave signal reflected from the target by the radar system, and contains various information of the target, such as position, speed, reflection characteristics, etc.

[0053] In this embodiment, the interference signal refers to any signal that affects the quality of the original echo signal and is not from the target.

[0054] In this embodiment, the interference signal types include: hostile interference, noise interference, camouflage interference and other types.

[0055] In this embodiment, the adaptive filter coefficient is a parameter inside the adaptive filter, which is used to control the response of the filter so that the filter can automatically adjust its output according to the characteristics of the input signal.

[0056] In this embodiment, the first adaptive filter is a preliminary filter in the adaptive filtering process.

[0057] In this embodiment, the frequency hopping waveform technology is a technology that disperses the signal spectrum by changing the frequency, and is used in scenarios where interference resistance and improving the anti-attack capability of a communication or radar system are required.

[0058] In this embodiment, the application of time dispersion processing in the frequency hopping waveform technology refers to dispersing the frequency of the interference signal into different time periods or frequency ranges.

[0059] In this embodiment, the signal adjustment parameters refer to relevant parameters optimized by the adaptive filter during the filtering process, including: filter coefficients, frequency adjustment parameters, gain coefficients, etc.

[0060] In this embodiment, the final adaptive filter is a filter that has been adjusted and optimized in multiple stages, effectively suppressing interference signals while retaining target signals.

[0061] The working principle and beneficial effects of the above technical solution are: by collecting and analyzing interference echo signals, identifying interference types, and using adaptive filters and frequency hopping waveform technology to process interference signals, the target wave radar signal is optimized, radar performance is improved, interference effects are reduced, and target detection accuracy is improved.

[0062] Embodiment 2:

[0063] On the basis of the above-mentioned embodiment 1, the radar signal is transmitted based on the target wave radar, including:

[0064] Select the target wave radar according to the radar mission requirements and configure the target wave radar according to the preset signal transmission frequency;

[0065] Select the signal modulation method, use the signal generator to produce the modulated radar signal, and transmit the radar signal based on the target wave radar.

[0066] In this embodiment, the preset signal transmission frequency refers to the operating frequency of the radar signal set before the mission begins according to the radar mission requirements and system performance requirements.

[0067] In this embodiment, the signal modulation method refers to carrying information by changing the parameters of the radar signal (such as frequency, amplitude, phase, etc.), thereby optimizing the performance of the radar, improving the detection effect and anti-interference capability.

[0068] In this embodiment, the signal generator is an electronic device used to generate and output various types of electrical signals.

[0069] The working principle and beneficial effects of the above technical solution are: selecting a suitable target wave radar and configuring the transmission frequency according to the radar mission requirements, modulating the radar signal through a signal generator and transmitting it using the target wave radar, thereby improving the effectiveness and mission adaptability of the radar signal and enhancing the target detection capability.

[0070] Embodiment 3:

[0071] On the basis of the above-mentioned embodiment 1, the process of analyzing and extracting the interference signal in the original echo signal includes:

[0072] Amplifying the original echo signal by a low noise amplifier to obtain a first echo signal;

[0073] Based on the transmission conditioning unit, the first echo signal is converted into a digital signal sequence according to the time node;

[0074] According to the preset modulation frequency, m is used as a factor signal, where m is an integer greater than 0, and each unit signal of the first echo signal is processed by the mixing sequence through the ADC algorithm to obtain a digital signal sequence:

[0075] ;in, represents the digital signal at the kth time node, n represents the first echo signal has a total of n time nodes corresponding to the signal, D () represents the time conversion function, represents the time interval corresponding to the kth time node of the first echo signal, Indicates the starting time of the first echo signal. represents the first phase coefficient, represents the second phase coefficient, Represents the third phase coefficient.

[0076] In this embodiment, the low noise amplifier is an electronic amplifier, which is mainly used to amplify the strength of the signal during the signal receiving and processing stage, while reducing the introduction of signal noise as much as possible.

[0077] In this embodiment, the first echo signal refers to the first echo signal reflected from the target object.

[0078] In this embodiment, the transmission conditioning unit is used to pre-process, adjust, enhance and optimize the signal during the transmission phase to ensure that the signal can be effectively transmitted and achieve the expected receiving effect.

[0079] In this embodiment, the time node refers to a specific time position in the time series of the signal.

[0080] In this embodiment, the digital signal sequence is composed of digitized signals at various time nodes.

[0081] In this embodiment, the preset modulation frequency refers to a fixed frequency value selected in order to perform modulation frequency conversion on the original signal during the signal processing process.

[0082] In this embodiment, the factor signal refers to a factor related to the modulation frequency, which plays a role in adjusting, amplifying or changing the signal characteristics during the signal processing process.

[0083] In this embodiment, the ADC algorithm refers to an analog-to-digital conversion algorithm, which is a process of converting an analog signal into a digital signal.

[0084] In this embodiment, the mixing sequence is a signal sequence composed of a plurality of different frequency components, and is used to perform frequency conversion with the first echo signal.

[0085] In this embodiment, the phase coefficient refers to a constant used to control and adjust the phase of a signal.

[0086] The working principle and beneficial effects of the above technical solution are: the echo signal is amplified by a low-noise amplifier and converted into a digital sequence, the echo signal is processed using a preset modulation frequency and ADC algorithm, the digital signal sequence is accurately obtained, the signal processing accuracy is effectively improved, and the recognizability and stability of the radar signal are enhanced.

[0087] Embodiment 4:

[0088] On the basis of the above-mentioned embodiment 3, the interference signal in the original echo signal is analyzed and extracted, and the type of the interference signal is identified, including:

[0089] The digital signal sequence after the original echo signal is converted is obtained, and the digital signal sequence in the time domain is converted into a frequency domain signal in the frequency domain based on the signal conversion algorithm, specifically:

[0090] ;in, represents the frequency domain signal, r( ) represents the time autocorrelation function of the digital signal sequence, represents the time correlation coefficient;

[0091] The frequency domain signal is cross-correlatedly compared with a preset standard frequency domain signal to obtain a comparison signal. If it is detected that the peak value of any time node in the comparison signal is greater than the preset standard peak value, it is determined that an interference signal exists at the corresponding time node.

[0092] In this embodiment, the signal conversion algorithm is a method for converting the original digital signal sequence from the time domain into a frequency domain signal.

[0093] In this embodiment, the frequency domain signal is a signal obtained by converting the original time domain signal through a signal conversion algorithm.

[0094] In this embodiment, the time autocorrelation function is an important tool in signal processing, which is used to measure the similarity of a signal to itself at different time delays.

[0095] In this embodiment, cross-correlation comparison is a technique commonly used in signal processing, and is used to compare the similarity between two signals, especially their similarities under different time displacements.

[0096] In this embodiment, the comparison signal refers to a signal obtained by cross-correlation comparison and calculation between the frequency domain signal and the standard frequency domain signal.

[0097] In this embodiment, the preset standard peak value is a threshold value, which is used to determine whether the comparison signal exceeds the normal range, and further determine whether there is an interference signal.

[0098] The working principle and beneficial effects of the above technical solution are: the digital signal sequence is converted from the time domain to the frequency domain signal through the signal conversion algorithm, and the cross-correlation comparison is performed with the standard frequency domain signal, the frequency domain peak anomaly is detected to determine the interference signal, thereby effectively identifying the interference and improving the anti-interference ability and reliability of the radar signal.

[0099] Embodiment 5:

[0100] Based on the above embodiment 4, it also includes:

[0101] Extracting all time nodes where interference signals exist in the digital signal sequence to obtain interference signals, and identifying interference features of the interference signals according to frequency domain functions;

[0102] Based on the expert library of wave radar, the preset standard features and interference features are compared in waveform, and the interference type with the highest waveform matching degree is used as the type of the interference signal.

[0103] In this embodiment, the frequency domain function refers to a mathematical function for obtaining characteristics of a signal in the frequency domain.

[0104] In this embodiment, the interference feature is a parameter used to describe the characteristics of the interference signal in signal processing, including: frequency, periodicity, amplitude pulse, etc.

[0105] In this embodiment, the expert database is a database storing known information or standard data.

[0106] In this embodiment, waveform comparison is a method of comparing the similarities of different signal waveforms.

[0107] In this embodiment, the waveform matching degree represents a numerical value of the similarity or matching degree between the signal and the preset standard signal.

[0108] The working principle and beneficial effects of the above technical solution are: by extracting the time nodes of the interference signal and identifying its frequency domain characteristics, combining the preset standard features in the expert library for waveform matching, accurately determining the type of interference signal, and improving the radar system's ability to identify interference sources and the classification accuracy of interference types.

[0109] Embodiment 6:

[0110] On the basis of the above-mentioned embodiment 1, matching the adaptive filter coefficient based on the interference signal type, initializing the adaptive filter to obtain the first adaptive filter includes:

[0111] The adaptive filter coefficients are generated based on the interference signal type:

[0112] ;in, represents the adaptive filter coefficient of the mth time window, Indicates the center frequency corresponding to the interference type, Indicates the bandwidth corresponding to the interference type, Represents the order of the adaptive filter;

[0113] The adaptive filter coefficients are configured in the adaptive filter to complete initialization, thereby obtaining a first adaptive filter.

[0114] In this embodiment, the time window refers to selecting a fixed time period during the signal processing process and analyzing and processing the signal within this time period.

[0115] In this embodiment, bandwidth refers to the frequency range of a signal, that is, the width of the frequency spectrum interval occupied by the signal.

[0116] In this embodiment, the order refers to the length of the filter, that is, the number of taps of the filter.

[0117] The working principle and beneficial effect of the above technical solution are: generating adaptive filter coefficients according to the interference signal type, and configuring them into the adaptive filter for initialization, thereby generating a first adaptive filter. This method can effectively adjust the filter parameters for different interference types, and improve signal processing accuracy and anti-interference ability.

[0118] Embodiment 7:

[0119] On the basis of the above-mentioned embodiment 1, the frequency of the interference signal is time-dispersed by using the frequency hopping waveform technology, input into the first adaptive filter to obtain the signal adjustment parameter, and configure to obtain the final adaptive filter, including:

[0120] Setting the hopping time of any frequency in each preset frequency hopping set, generating a frequency hopping sequence, inserting the frequency hopping sequence into the interference signal according to the hopping time, reducing the energy of the interference signal in the insertion time interval, and forming a scattered signal;

[0121] Inputting the scattered signal into the first adaptive filter, outputting the comparison signal, comparing the comparison signal with the preset standard signal to generate an error, adjusting the filter coefficient according to the error, iteratively inputting the comparison signal until the error is less than the minimum error threshold and stopping the iteration, wherein the filter coefficient of the final iteration is used as the signal adjustment parameter;

[0122] The first adaptive filter is configured based on the signal adjustment parameters to obtain a final adaptive filter.

[0123] In this embodiment, the preset frequency hopping set refers to a group of predefined frequency sequences in frequency hopping communication. These frequencies form a fixed set and are used for frequency hopping communication under specific time or signal conditions.

[0124] In this embodiment, the transition time refers to the length of time that a signal maintains at a certain frequency when the signal switches frequency.

[0125] In this embodiment, the frequency hopping sequence refers to a frequency sequence in which a signal sequentially hops over a series of preset frequencies according to a certain rule in a frequency hopping communication system.

[0126] In this embodiment, the dispersed signal refers to a signal whose energy is evenly distributed in different frequency ranges after being modulated by a frequency hopping sequence.

[0127] In this embodiment, the comparison signal is a reference signal for comparison with the output of the system.

[0128] In this embodiment, the minimum error threshold

[0129] The working principle and beneficial effects of the above technical solution are: by setting the frequency hopping sequence and adjusting the adaptive filter coefficients, the interference signal energy is reduced and a scattered signal is formed. By iteratively optimizing the filter coefficients, the minimum error threshold is finally obtained, the filter's ability to suppress interference signals is enhanced, and the signal quality is effectively improved.

[0130] Embodiment 8:

[0131] On the basis of the above-mentioned embodiment 1, the target wave radar is adjusted based on the final adaptive filter, and the adjustment result is evaluated, including:

[0132] filtering each frame of radar signal received by a radar receiver in the target wave radar based on the final adaptive filter to obtain a filtered radar signal;

[0133] The signal-to-noise ratio of the filtered radar signal is evaluated. If the signal-to-noise ratio is higher than a preset threshold, the final adaptive filter is determined to meet the optimization result. Otherwise, the final adaptive filter is determined not to meet the optimization result, and the signal adjustment parameters of the final adaptive filter are adjusted in the opposite direction.

[0134] In this embodiment, the filtered radar signal refers to an optimized or corrected signal obtained by processing the original radar signal received by the radar receiver through an adaptive filter.

[0135] In this embodiment, the signal-to-noise ratio is a parameter that measures the ratio between signal strength and noise strength and is used to evaluate signal quality.

[0136] In this embodiment, the preset threshold is a reference value used to determine whether the signal-to-noise ratio is high enough to indicate that the filter performance meets expectations.

[0137] The working principle and beneficial effect of the above technical solution are: by evaluating the signal-to-noise ratio of the filtered radar signal, it is determined whether the final adaptive filter is optimized. If the signal-to-noise ratio is higher than the threshold, the optimization result is confirmed to be valid; otherwise, the filter parameters are adjusted in the opposite direction to ensure that the radar signal quality is continuously optimized and the radar system performance is improved.

[0138] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for adaptively adjusting wave radar anti-interference, characterized in that: include: Step 1: Transmit a radar signal based on the target wave radar, and collect the original echo signal after interference from the radar receiver; Step 2: Analyze and extract the interference signal in the original echo signal and identify the type of interference signal; Step 3: matching adaptive filter coefficients based on the interference signal type, initializing the adaptive filter to obtain a first adaptive filter; Step 4: Use frequency hopping waveform technology to time-disperse the frequency of the interference signal, input it into the first adaptive filter to obtain signal adjustment parameters, and configure the final adaptive filter; Step 5: Adjust the target wave radar based on the final adaptive filter and evaluate the adjustment result; The method of matching the adaptive filter coefficient based on the interference signal type and initializing the adaptive filter to obtain the first adaptive filter includes: The adaptive filter coefficients are generated based on the interference signal type: ;in, represents the adaptive filter coefficient of the mth time window, Indicates the center frequency corresponding to the interference type, Indicates the bandwidth corresponding to the interference type, Represents the order of the adaptive filter; The adaptive filter coefficients are configured in the adaptive filter to complete initialization, thereby obtaining a first adaptive filter.

2. The adaptive adjustment method for wave radar anti-interference according to claim 1 is characterized in that: Based on the target wave radar, the radar signal is emitted, including: Select the target wave radar according to the radar mission requirements and configure the target wave radar according to the preset signal transmission frequency; Select the signal modulation method, use the signal generator to produce the modulated radar signal, and transmit the radar signal based on the target wave radar.

3. The adaptive adjustment method for wave radar anti-interference according to claim 1, characterized in that: The process of analyzing and extracting interference signals from the original echo signal includes: Amplifying the original echo signal by a low noise amplifier to obtain a first echo signal; Based on the transmission conditioning unit, the first echo signal is converted into a digital signal sequence according to the time node; According to the preset modulation frequency, m is used as a factor signal, where m is an integer greater than 0, and each unit signal of the first echo signal is processed by the mixing sequence through the ADC algorithm to obtain a digital signal sequence: ;in, represents the digital signal at the kth time node, n represents the first echo signal has a total of n time nodes corresponding to the signal, D () represents the time conversion function, represents the time interval corresponding to the kth time node of the first echo signal, Indicates the starting time of the first echo signal. represents the first phase coefficient, represents the second phase coefficient, Represents the third phase coefficient.

4. The adaptive adjustment method for wave radar anti-interference according to claim 3 is characterized in that: Analyze and extract interference signals from the original echo signal and identify the types of interference signals, including: The digital signal sequence after the original echo signal is converted is obtained, and the digital signal sequence in the time domain is converted into a frequency domain signal in the frequency domain based on the signal conversion algorithm, specifically: ;in, represents the frequency domain signal, r( ) represents the time autocorrelation function of the digital signal sequence, represents the time correlation coefficient; The frequency domain signal is cross-correlatedly compared with a preset standard frequency domain signal to obtain a comparison signal. If it is detected that the peak value of any time node in the comparison signal is greater than the preset standard peak value, it is determined that an interference signal exists at the corresponding time node.

5. The adaptive adjustment method for wave radar anti-interference according to claim 4 is characterized in that: Also includes: Extracting all time nodes where interference signals exist in the digital signal sequence to obtain interference signals, and identifying interference features of the interference signals according to frequency domain functions; Based on the expert library of wave radar, the preset standard features and interference features are compared in waveform, and the interference type with the highest waveform matching degree is used as the type of the interference signal.

6. The adaptive adjustment method for wave radar anti-interference according to claim 1, characterized in that: The frequency of the interference signal is time dispersed using the frequency hopping waveform technology, input into the first adaptive filter to obtain the signal adjustment parameter, and the final adaptive filter is configured, including: Setting the hopping time of any frequency in each preset frequency hopping set, generating a frequency hopping sequence, inserting the frequency hopping sequence into the interference signal according to the hopping time, reducing the energy of the interference signal in the insertion time interval, and forming a scattered signal; Inputting the scattered signal into the first adaptive filter, outputting the comparison signal, comparing the comparison signal with the preset standard signal to generate an error, adjusting the filter coefficient according to the error, iteratively inputting the comparison signal until the error is less than the minimum error threshold and stopping the iteration, wherein the filter coefficient of the final iteration is used as the signal adjustment parameter; The first adaptive filter is configured based on the signal adjustment parameters to obtain a final adaptive filter.

7. The adaptive adjustment method for wave radar anti-interference according to claim 1, characterized in that: The target wave radar is adjusted based on the final adaptive filter and the adjustment results are evaluated, including: filtering each frame of radar signal received by a radar receiver in the target wave radar based on the final adaptive filter to obtain a filtered radar signal; The signal-to-noise ratio of the filtered radar signal is evaluated. If the signal-to-noise ratio is higher than a preset threshold, the final adaptive filter is determined to meet the optimization result. Otherwise, the final adaptive filter is determined not to meet the optimization result, and the signal adjustment parameters of the final adaptive filter are adjusted in the opposite direction.

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