35 results about "Radar countermeasures" patented technology

A radar confrontation equipment modeling method based on a reconfigurable component technology adopts a modularization modeling mode to construct a radar confrontation equipment model framework required by an electronic confrontation simulation deduction system, and the main design idea is that modularization modeling is carried out on an equipment simulation model, reusable components are not repeatedly modeled any more, the development efficiency is improved, and the modeling cost is reduced. The model stability is improved. Based on the modularization modeling idea, splitting of common model components and fusion with an existing model are fully considered in the model design process, a complex equipment function model is split into independent function components, the modeling complexity of each component is reduced, the function components can be repeatedly used, the modeling workload is reduced, and meanwhile the modeling efficiency is improved. And the stability of the equipment model can be effectively improved.

The present disclosure provides an interference signal generation method, an interference synthetic aperture radar method and an interference machine, which can be applied to the technical field of radar countermeasure. The interference signal generation method comprises: performing data offset processing on distance dimension data of an interference template image to generate an offset interference image; performing resampling on the offset interference image based on an azimuth dimension resampling rate and a distance dimension resampling rate to obtain a resampled interference image; performing two-dimensional Fourier transform on the resampled interference image to obtain initial interference image data; performing frequency conversion processing on radar signals intercepted from a synthetic aperture radar to obtain distance frequency domain signals corresponding to the radar signals; constructing an interference response function corresponding to the initial interference image data based on a first real-time distance, a second real-time distance, a parameter, the distance frequency domain signals and the initial interference image data; and generating target interference signals by processing the distance frequency domain signals using the interference response function.

The invention discloses a high-resolution SAR deception jamming signal rapid generation method and device, and belongs to the technical field of radar countermeasure. The method comprises the following steps: intercepting an SAR signal and measuring parameters of the SAR signal; obtaining a deception jamming template image, and carrying out edge optimization processing; performing two-dimensional partitioning on the template in the distance direction and the azimuth direction to obtain a plurality of sub-templates; calculating a phase compensation function for the central point of each sub-template, and carrying out phase optimization; the optimized sub-templates are superposed, and a high-quality product modulation matrix is generated; and multiplying the matrix by an intercepted SAR signal, and transmitting after digital-to-analog conversion and up-conversion to form a deception jamming signal. According to the method, through block phase compensation and template edge optimization, the imaging quality and concealment of the deception jamming image under the high-resolution SAR are remarkably improved, meanwhile, low calculation complexity is kept, and the method is suitable for satellite-borne and airborne SAR systems.

The invention discloses a normalized deep reinforcement learning radar waveform design method, which comprises the following steps: modeling a radar confrontation environment based on a Markov decision process model, expressing a radar anti-interference problem as a Markov decision process with a limited field-of-view state space, determining a state, an action and a conversion dynamic state, and designing a normalized deep reinforcement learning radar waveform. Setting a reward function in the existing deep reinforcement learning algorithm; the beneficial effects of the invention are that the system stability and the learning efficiency are improved through the enhancement of the reward normalized discount; a radar environment is modeled as a Markov decision process, so that an agent can optimize a waveform strategy through interaction with a state space, an action space and a reward function; compared with an LFM method, a non-normalized D3QN method and the like, the method has the advantages that the signal to interference and noise ratio of a radar receiver end is increased, the target detection probability is increased, interference and clutter interference are effectively reduced, and an effective way is provided for automation and intelligentization of radar waveform generation in an anti-environment.

The invention provides an SAR time domain high-fidelity moving target single-base deception jamming method and device, and belongs to the technical field of radar countermeasure, and the method comprises the steps: obtaining a signal parameter of a signal transmitted by an SAR platform, and generating an initial signal of an additional two-dimensional time domain coupled modulation phase; determining the center position of a false target group, designing an interference area position control template, multiplying the interference area position control template with an initial signal, and controlling the position of an interference area; designing a multi-target rapid generation template according to the initial position coordinates of the false moving targets, and multiplying the multi-target rapid generation template with the multiplied signals to generate a plurality of false moving target signals with consistent speed; for false moving targets with different speeds, designing a parallel operation two-dimensional time domain coupled modulation phase and a multi-target rapid generation template in a classified manner, and obtaining a final interference signal; and performing digital-to-analog conversion and up-conversion processing on the final interference signal, and forwarding the final interference signal to a target SAR system pulse by pulse. According to the invention, a single jammer can generate a plurality of high-fidelity false moving targets in different moving states.

This invention discloses a distributed MIMO radar resource allocation method for integrated reconnaissance, interception, and communication, belonging to the technical field of radar resource allocation. It aims to solve the performance balance problem under multi-task coordination in distributed MIMO radar air combat scenarios. An integrated reconnaissance, interception, and communication adversarial scenario is constructed, using the lower bound of position estimation error (SPEB), missile detection probability, and inter-node communication capacity as performance evaluation indicators for reconnaissance, interception, and communication, respectively. Then, with the goal of minimizing the total system transmit power, a model is constructed by combining relevant performance constraints and node task rules. Finally, the model is transformed into a mixed-integer second-order cone programming problem, and the non-convex terms are convexified using the McCormick envelope method. A numerical solution is obtained based on the CVX solver in MATLAB, achieving joint optimization of node task allocation and power allocation. This invention reduces the total transmit power while satisfying three types of performance requirements, achieving efficient waveform resource scheduling and improving the practicality and robustness of radar countermeasures.

The application relates to the technical field of radar signal processing, and provides an extended target detection method and system in the case of uncertain interference information. The application avoids the precision loss of a multi-rank interference model by modeling to-be-detected data of rank-one interference as an unknown vector in a binary hypothesis testing model, and adapts to a radar countermeasure environment with uncertain interference directions. Parameters are estimated based on a to-be-detected data matrix and a training sample data vector under a zero hypothesis, and the uncertainty of a steering vector caused by flicker interference is avoided. A test statistic is constructed by combining an interference coordinate vector, an interference amplitude vector and a noise covariance matrix, a complex detection problem with multiple unknown parameters is converted into a statistical detection problem under the condition that the parameters are known, the model uncertainty caused by the unknown parameters is eliminated by using actual measurement estimation results, a detection threshold is determined in combination with a system false alarm probability, the detection potential is fully tapped on the premise that the false alarm is controllable, and the detection capability and reliability are effectively improved.

The invention discloses a radar confrontation domain knowledge extraction method and system based on a BERT model. The method comprises the following steps: firstly, establishing a dynamic and static combined radar confrontation knowledge unified description architecture; performing unstructured data preprocessing on radar confrontation text data from different data sources; then performing entity recognition and relation extraction by using a sequence labeling method based on a pre-training language model; and finally, based on a radar confrontation knowledge unified description architecture, performing knowledge fusion and knowledge representation on knowledge data extracted from different data sources to form a radar confrontation unified description knowledge set. The system is used for realizing the radar confrontation domain knowledge extraction method based on the BERT model. According to the method, knowledge extraction and unified description can be carried out on unstructured text data in the radar countermeasure field, and the method has the advantages of high specialty, high accuracy and high extraction efficiency.

The application discloses a kind of multi-interferometer intelligent frequency domain interference decision methods for networking radar countermeasure, constructs multi-interferometer intelligent cooperative interference model, and establishes the Markov decision process of multi-agent reinforcement learning for countermeasure process, and establishes the whole system of countermeasure using centralized learning paradigm;According to the idea of hierarchical reinforcement learning, the total task of frequency domain interference parameter decision maker is decomposed, the strategy of each subtask is obtained by the task level of division, the strategies of multiple subtasks are combined to form an effective global strategy;Three space modules of decision engine are defined respectively, PER-DDQN is used as the network basic structure, and the decision strategy is output;Priority auxiliary experience playback is introduced in network optimization module, SumTree data structure is used as the experience pool of sample playback, and the parameters of deep neural network are updated according to function and parameter update formula.The application uses deep reinforcement learning algorithm with priority experience playback to improve the training speed of network.

The application provides an airborne radar jamming method and device and a storage medium, and belongs to the technical field of radar countermeasure, and the method comprises the following steps: detecting a signal transmitted by an airborne radar to obtain radar signal data; performing interference distance sequence analysis on the radar signal data to obtain an interference distance sequence; performing Doppler sequence analysis on the radar signal data to obtain a Doppler sequence; and performing distance power sequence analysis on the radar signal data to obtain a plurality of distance power sequences. The application realizes target protection and radar jamming at the same time, thereby realizing target concealment jamming of the airborne radar, and meanwhile, the jamming signal cannot be discovered by the radar, and the precise jamming capability is greatly improved.

The invention relates to the field of electronic countermeasure and radar countermeasure cable manufacturing, in particular to a method and a device for processing a cable on site. The method comprises the steps that firstly, at least one end of a cable is not provided with a plug, the cable passing through the side without the plug penetrates through a needed installation hole, and the two ends of the cable are connected with an electronic equipment socket needing to be installed respectively, and secondly, a tooth-shaped part of the outer circle of a tail clamp of the plug is clamped through a wrench device tool; the excircle of the tail clamp cannot move relative to the wrench device; 3, a fixing device is adopted, the plug is inserted from the plug gap, the inner circle protruding positioning piece is clamped through the fixing device, and therefore movement of the inner circle is limited; and 4, separating or fastening the plug and the tail clamp of the cable by twisting the wrench device and the fixing device. According to the invention, the plug and the tail clamp can be fixed conveniently, so that on-site production and processing are facilitated.

The invention relates to the field of electronic countermeasures, in particular to a testing and calibrating method of a power tester and the power tester. The method comprises the following steps: setting an initial power amplitude of an input signal of a signal source; setting coaxial detectors of different frequency bands by a power tester to correspond to measurement requirements of different frequency bands; calculating a correction value; and adjusting the output of the signal source through a stepping value. The device can be used in the fields of development and production of radio frequency pulse signals and continuous wave signals of electronic countermeasures, radar countermeasures and related products, can detect the continuous wave signals and pulse signals, and is high in measurement precision.

This invention discloses a radar countermeasure simulation training method and system based on a multimodal large model, belonging to the field of radar simulation training technology. The method includes: receiving training requirements input by trainees in natural language, parsing and extracting core elements, and initializing radar and target parameters. Based on these requirements, it generates complete electromagnetic environment scenarios, multi-system radar signals conforming to tactical situations, synthesizes waveforms, simulates complex environmental effects, and outputs standardized files. A real-time simulation engine unit simulates radar power-on and search scanning, generating target echoes. An intelligent countermeasure strategy unit perceives the situation, intercepts signals, identifies threats, and generates adaptive countermeasure strategies. An intelligent evaluation and feedback unit collects data throughout the process, quantifies and scores data through a large model, checks compliance, and generates training evaluation results in real time. This invention solves the problem in existing technologies where radar countermeasure training is difficult to adapt to complex and ever-changing electromagnetic countermeasure requirements.

The present application relates to the technical field of radar countermeasure and artificial intelligence, and discloses a synthetic aperture radar cross-domain black box attack method based on an adversarial transfer network, comprising the following steps: taking a measurement sample as a target domain, taking a synthetic sample obtained by simulation as a source domain, and dividing the data of the source domain and the target domain into a training set and a test set respectively; designing an adversarial transfer network for black box attack, wherein the adversarial transfer network comprises a source domain agent model, a target domain victim model and a disturbance generator; training the source domain agent model and the target domain victim model respectively, training the disturbance generator, applying the trained disturbance generator to the target domain test set to generate an adversarial sample, and attacking the target domain victim model. The present application solves the technical problem that effective adversarial samples cannot be generated under the condition that target domain information cannot be obtained at all, realizes that adversarial samples can be generated only by using source domain data, and significantly improves the cross-domain transfer capability of adversarial samples.

The application provides a radar jamming decision and parameter optimization method and device based on hierarchical reinforcement learning, which comprises the following steps: constructing a radar countermeasure model; according to the radar countermeasure model, establishing state-action samples of radar working modes and jamming styles; according to the collected samples, an outer Q-Learning network obtains an optimal jamming strategy; an environment of an inner DDPG network is constructed, and the jamming strategy obtained by the outer layer is mapped to the inner DDPG network; an inner DDPG network model is constructed, the optimal jamming strategy is pulse parameter optimized by selecting actions on a continuous parameter space; an interference effect evaluation algorithm based on AHP-TOPSIS is used to evaluate the interference effect, and the interference effect evaluation result is used as environment feedback to update the radar countermeasure model; the application is suitable for cognitive jamming decision and parameter optimization in radar electronic warfare, the interference effect is evaluated by using the evaluation algorithm based on AHP-TOPSIS, and then the jamming decision and parameter optimization are carried out by using the model based on hierarchical reinforcement learning.

This invention provides a method and apparatus for high-fidelity single-base deception jamming of SAR moving targets in the time domain, belonging to the field of radar countermeasures technology. The method includes: acquiring signal parameters of signals transmitted by a SAR platform and generating an initial signal with an additional two-dimensional time-domain coupled modulation phase; determining the center position of a group of false targets, designing a jamming area position control template, multiplying it with the initial signal to control the position of the jamming area; designing a multi-target rapid generation template based on the initial position coordinates of the false moving targets, multiplying it with the multiplied signal to generate multiple false moving target signals with the same speed; classifying and designing parallel computation of the two-dimensional time-domain coupled modulation phase and the multi-target rapid generation template for false moving targets with different speeds to obtain the final jamming signal; and performing digital-to-analog conversion and up-conversion processing on the final jamming signal, forwarding it pulse-by-pulse to the target SAR system. This invention enables a single jammer to generate multiple high-fidelity false moving targets with different motion states.

The present invention discloses a deception jamming method and device based on an M4 interrogator of an identification friend or foe (IFF) system, belonging to the technical field of radar countermeasures. The deception jamming method comprises: starting timing after detecting a rising edge of a synchronization pulse P4 in an M4 interrogation signal; encoding and generating an M4 response "three-pulse" signal according to the characteristics of the M4 interrogation signal after waveform feature matching; transmitting all possible jamming response signals according to the generation time of the M4 response signal to form effective "deception" jamming; and converting the received M4 interrogation signal into digital information for storage, thereby solving the problem of being unable to effectively jam an enemy M4 interrogator due to being unable to obtain a "response delay code" in ciphertext information. The method can effectively counter an enemy M4 interrogator in a battlefield environment, thereby achieving the purpose of deception jamming; and evaluating the anti-jamming capability and active jamming capability of one's own IFF system according to the working mechanism of the IFF M4 system in the Mark XII standard.

The present invention discloses a method and system for analyzing intra-pulse features of aliased radar signals, relating to the field of radar countermeasure detection. The method comprises: Step 1: separating a mixed signal with overlapping time and frequency domains into single signals; Step 2: detecting the start and end times of each separated signal; Step 3: identifying the modulation type of each separated signal; and Step 4: estimating the modulation parameters of each separated signal. The present application also discloses a computer system based on the intra-pulse feature analysis technology for aliased radar signals. The system is capable of automatically, accurately, and rapidly analyzing the intra-pulse features of aliased radar signals.

The invention relates to the technical field of navigation countermeasure, in particular to a simple and practical polarization agility signal generation circuit which comprises a radio frequency switch control module, a rectangular wave signal generator module and a dual-polarization four-ridge horn antenna module. The radio frequency switch is driven by the rectangular wave signal to switch an output path, the dual-polarized antenna is controlled to alternately transmit horizontal and vertical polarized signals, and rapid time domain change of spatial polarization is realized. The system supports frequency and duty ratio adjustment, integrates functional modules of filtering shaping, power detection, remote control and automatic calibration, and has the advantages of high polarization switching speed, compact structure, flexible parameters and high stability. The method can be widely applied to the fields of navigation interference test, radar countermeasure and communication system evaluation, and has good engineering practicability and popularization value.

This invention discloses a method and apparatus for quantifying and compensating for azimuth defocus in synthetic aperture radar (SAR) frequency-shift interference, belonging to the field of radar countermeasures technology. First, the intercepted SAR signal undergoes mixing processing and parameter estimation, and is sampled and stored to obtain a digital baseband signal. Then, a frequency shift amount is set according to the preset interference point position, and a frequency-shift modulation signal is generated. This signal is multiplied by the digital baseband SAR signal to obtain the uncompensated frequency-shift interference signal. Further, a mathematical relationship between the azimuth defocus amount and the frequency shift amount of the false target is established, a phase compensation value is calculated, and a phase compensation signal is generated. This phase compensation signal is multiplied by the uncompensated frequency-shift interference signal to complete the compensation modulation. Finally, after digital-to-analog conversion and up-conversion processing, the signal is relayed pulse-by-pulse to the target SAR system. This invention effectively addresses the frequency modulation mismatch and defocusing problems of frequency-shift interference by compensating only the azimuth phase, significantly improving the imaging quality and interference effect of false targets.

The invention discloses a radar multi-pattern interference signal generation method based on a photon radio frequency memory, and relates to the technical field of radar countermeasure. According to the method, a laser device LD, a dual-polarization quadrature phase shift keying modulator DPQPSK, an arbitrary waveform generator AWG, a vector signal generator VSG, an electrical 90-degree coupler 90-degree HC, a polarization controller PC, a polarizer Pol, an optical switch OS, an optical delay line ODL, an adjustable optical delay line TODL, a 2 * 2 optical coupler OC, an optical band pass filter OBPF, an acousto-optic frequency shifter AOFS, a photoelectric detector PD and an erbium-doped fiber amplifier EDFA are included. According to the invention, Doppler modulation is introduced to a signal by using DPQPSK, the state of an OS in a cascade optical delay loop is regulated and controlled by changing a control signal time sequence, the cycle index and delay amount of an optical signal are controlled, and an interference signal with adjustable delay length, delay resolution, Doppler frequency and false target number is generated. Flexible and tunable large instantaneous bandwidth real-time speed, distance, dense false targets, suppression and imaging interference are realized.

The invention relates to the technical field of radar adversarial and artificial intelligence, and discloses a synthetic aperture radar cross-domain black box attack method based on an adversarial migration network, which comprises the following steps: taking a measurement sample as a target domain, taking a synthetic sample obtained by simulation as a source domain, and respectively dividing data of the source domain and the target domain into a training set and a test set; designing an adversarial migration network for the black box attack, wherein the adversarial migration network comprises a source domain agent model, a target domain damage model and a disturbance generator; and respectively training the source domain agent model and the target domain damage model, training a disturbance generator, applying the trained disturbance generator to the target domain test set to generate an adversarial sample, and attacking the target domain damage model. The technical problem that the effective adversarial sample cannot be generated under the condition that the target domain information cannot be obtained completely is solved, the adversarial sample can be generated only by utilizing the source domain data, and the cross-domain migration capability of the adversarial sample is remarkably improved.

The present invention discloses a method and system for generating active anti-interference waveforms for cognitive radars based on DQN and MAB, wherein the method comprises: obtaining a radar interference time-frequency diagram based on radar transmission signals and interference signals; simulating a radar countermeasure process and constructing a transmission waveform strategy library based on the radar interference time-frequency diagram; solving the waveform strategy library using a DQN algorithm, and optimizing the solution using a MAB algorithm to obtain an optimal transmission waveform; detecting the optimal transmission waveform using a CFAR detector to generate an optimal anti-interference waveform and parameters. The present invention integrates the global strategy search of DQN with the local parameter optimization of MAB, effectively solving the problem of dynamic anti-interference adaptation in multi-pulse timing interaction scenarios, and is suitable for airborne radar electronic countermeasure systems and real-time anti-interference requirements in complex electromagnetic environments.

This invention discloses a distributed and scalable intelligent method and system for generating false targets using time-modulated metasurfaces, relating to the fields of novel artificial electromagnetic metamaterials and radar countermeasures. The method includes: dynamically modulating the complex reflection coefficient by controlling time-modulated metasurface units, constructing a 1-bit phase coding mechanism and modulation waveform library; generating false targets in the range dimension and range-velocity two-dimensional space using intra-frame and inter-frame time modulation respectively, and solving for the optimal time modulation sequence using a physically constrained particle swarm optimization algorithm; extending the single-node method to a multi-node distributed system, and coherently superimposing echoes through multi-node sequence joint design to generate distributed false targets matching a preset template at the radar receiver. This invention can achieve a range-velocity two-dimensional controllable, high-fidelity false target cluster with strong anti-interference capabilities, suitable for radar target camouflage and protection scenarios.

A radar emitter signal recognition method based on dynamic parameter registration is provided, comprising the following steps: parameter input; mode selection; dynamic tolerance calculation; dynamic weight calculation; confidence calculation; result output. The method uses mathematical modeling and statistical analysis tools to intelligently analyze the change law of the reconnaissance signal data, and combines the sensor device and the regional characteristics to develop a radar emitter target adaptive recognition technology. Compared with the prior art, on the one hand, the present application can accurately realize intelligent recognition of the radar emitter signal by getting rid of the influence of reconnaissance data from different regions, different sensor devices and different acquisition parameters; on the other hand, since the present application adopts a dynamic weight and dynamic tolerance idea for radar emitter signal recognition, the heavy work of repeatedly adjusting the weight, tolerance and parameters by the operator is avoided, so the work load is greatly reduced.

This invention proposes a wideband multi-stage amplification countermeasure signal processing method and apparatus, belonging to the field of countermeasure signal processing technology. The method includes: forming an equivalent metal isolation wall by setting a metallized via array inside a SIW substrate, dividing it into multiple independent amplification unit regions; automatically performing impedance matching according to the signal frequency through a frequency band matching module, with capacitive and resistive parameters set in five segments according to 700MHz-6GHz; inputting the matched signal into the multi-stage amplification module, amplifying it stage by stage in the independent regions, while suppressing surface waves and electromagnetic coupling through the metal isolation wall; providing DC bias and isolating power supply noise through a power supply isolation module; and outputting the amplified countermeasure signal. This invention achieves continuous matching, stable amplification, and low-interference output over a 700MHz-6GHz wideband, and can be widely applied in radar countermeasures, communication jamming, and other fields.

The invention provides a method and device for measuring the environmental adaptability of group intelligent electronic countermeasure equipment, and the method and device are applied to the technical field of radar countermeasure, and the method comprises the steps: obtaining the state information corresponding to each piece of electronic countermeasure equipment in an electronic countermeasure equipment group, the state information comprises interference frequency, interference power and interference beam angle corresponding to the electronic countermeasure equipment; calculating a group behavior entropy corresponding to the electronic countermeasure equipment group according to the state information; and measuring the environmental adaptability of the electronic countermeasure equipment group based on the group behavior entropy. In the scheme, the group behavior mode is converted into a computable state distribution entropy value, and the environmental adaptability of the group is measured based on the group behavior entropy; compared with the measurement mode for the environmental adaptability of the swarm intelligence system in the prior art, the measurement method for the environmental adaptability of the swarm intelligence electronic countermeasure equipment provided by the embodiment of the invention has higher accuracy for the measurement of the environmental adaptability of the electronic countermeasure equipment group.

This invention discloses a radar countermeasure effectiveness evaluation method based on MBSE model construction. This method uses a model-based systems engineering approach, starting from the detection principle of radar countermeasures, to characterize and design the model construction. The model design studies radar equations, interference signal modulation methods, interference effects, and other aspects, analyzes user and functional requirements of the model, and uses these requirements to drive the design. The overall composition and performance of the coordinated model are optimized to ensure consistency among requirements, functions, and models. This invention utilizes an MBSE-based model construction method to unify and collaboratively design countermeasure models. Under existing circumstances, it can effectively implement the design and simulation of radar countermeasure models and the evaluation of countermeasure effectiveness.

The application discloses a high-resolution SAR deception jamming signal fast generation method and device, and belongs to the technical field of radar countermeasure. The method comprises the following steps: intercepting a SAR signal and measuring parameters of the SAR signal; acquiring a deception jamming template image, and performing edge optimization processing; two-dimensionally dividing the template in a range direction and an azimuth direction to obtain a plurality of sub-templates; calculating a phase compensation function for a center point of each sub-template, and performing phase optimization; superimposing the optimized sub-templates to generate a high-quality product modulation matrix; multiplying the matrix with the intercepted SAR signal, performing digital-to-analog conversion and frequency up-conversion, and then transmitting to form a deception jamming signal. Through the block phase compensation and the template edge optimization, the application significantly improves the imaging quality and concealment of the deception jamming image under the high-resolution SAR, meanwhile, a relatively low calculation complexity is maintained, and the application is suitable for a spaceborne and airborne SAR system.

The invention discloses a receiver design method for radar interference integrated signals, which comprises the following steps of: firstly, establishing an own interference transmitting signal and counterparty radar signal model according to a detection and trunk integrated system and a counterparty radar countermeasure scene, and then representing an output model of the interference transmitting signal and the counterparty radar signal at an own receiving end; according to the receiver design method, the receiver design is optimized, a mismatched filtering optimization problem of an own receiving end is established, the same-frequency radar signal of an adversarial side is effectively suppressed while the detection performance is improved, finally, solving is performed through an iterative algorithm based on momentum gradient descent, an optimal frequency domain weighting vector is obtained, and the receiver design for the radar interference integrated signal is completed. According to the method, the design thought that interference signals can be detected is adopted, the same-frequency interference threat faced by an integrated system in practical application is considered, a mismatched filter is designed through an optimization algorithm from a receiving end, and the interference signals have good same-frequency interference suppression capacity while effective detection is achieved.