32 results about "Radar resolution" patented technology

The invention provides a distributed MIMO clutter echo simulation method based on GIS information, and the method comprises the steps: obtaining the GIS information of a geographic information system, and dividing a surface scatterer irradiated by an MIMO radar into a plurality of basic scattering units based on the GIS information; calculating slope distances, Doppler frequencies, terrain elevation values and land cover types of the plurality of basic scattering units to form a scene model element set; mapping a plurality of basic scattering units to a radar resolution unit by combining a backscattering coefficient empirical model and a resolution adaptive grid mapping method according to the scene model element set; dividing the radar resolution unit into a permanent scattering area and a dynamic scattering area according to GIS information; performing clutter statistical characteristic simulation processing on the permanent scattering region and the dynamic scattering region to obtain a clutter amplitude sequence; and performing echo analysis processing on the clutter amplitude sequence in a time-frequency domain to obtain clutter echo simulation data. And the simulation precision of clutter echo simulation data is integrally improved.

The invention discloses a radar detection imaging method, which comprises the following steps: firstly, calculating the electromagnetic field intensity of a radar signal of a radar to a target point after being transmitted and propagated through an evaporation waveguide medium by using an electromagnetic propagation model; utilizing an electromagnetic scattering model to calculate a radar signal backward far region scattering field of the target and the random sea surface composite scene, namely electromagnetic scattering characteristics; and finally, electromagnetic imaging is carried out on the radar signal backward far region scattered field by using an electromagnetic imaging algorithm. The evaporation waveguide serves as a transmission medium of radar electromagnetic waves, the detection capacity of the radar can be remarkably improved, beyond-visual-range detection can be achieved, meanwhile, compared with free space transmission, the enhancement effect of the evaporation waveguide layer on target electromagnetic signal echoes can improve the detection signal-to-noise ratio of signals, and the detection precision is improved. The method can be applied to a high frequency band to provide a high radar resolution, radar electromagnetic waves are propagated in the evaporation waveguide at a low glancing angle, sea clutter interference in the target echo detection process is reduced, and the precision and reliability of target detection are improved.

The invention discloses a maneuvering weak target pre-detection tracking method based on echo energy space-time distribution characteristics, a program, equipment and a storage medium, and belongs to the field of target detection and tracking. The method comprises the following steps: firstly, performing maximum non-coherent accumulation on multiple frames of radar target echoes, and converting accumulated radar measurement into a two-dimensional radar target echo image; and inputting the echo image into an improved YOLOv8 instance segmentation network for identification. And finally, carrying out coordinate conversion on an identification result, mapping image pixels to a radar resolution unit, and outputting detected target position information and the number of targets. Compared with an algorithm of firstly detecting and then tracking, the tracking-before-detection algorithm does not perform threshold detection on each frame of signal, but accumulates multiple frames of radar target echoes, and forms a motion track to be distinguished from noise plots, clutters and the like according to the space-time correlation characteristics of the target so as to identify the target. And the detection probability and the target number identification rate are improved.

The invention relates to the technical field of geological disaster monitoring and early warning, in particular to a slope radar data accurate visualization method, a readable storage medium and equipment. The method comprises the following steps: acquiring a data set by radar; performing data preprocessing; converting the coordinate values of the three-dimensional terrain points into a two-dimensional polar coordinate space to obtain polar coordinates corresponding to the three-dimensional terrain points; and the slope radar distinguishing unit is matched with the three-dimensional topographic points, and three-dimensional space coordinates corresponding to the slope radar distinguishing unit are calculated. According to the method, three-dimensional space is mapped to polar coordinates, three-dimensional topographic points near a slope radar resolution unit are preliminarily screened in combination with a buffer area, then the nearest three-dimensional topographic points in the upper, lower, left and right directions are secondarily screened out, and finally accurate three-dimensional space coordinates of the slope radar resolution unit are estimated through an inverse distance weighted interpolation method. One-to-one correspondence and accurate mapping of two-dimensional polar coordinates and three-dimensional space coordinates of radar monitoring data are realized, and a basis is provided for subsequent data visualization and monitoring early warning analysis.

Various technologies described herein pertain to systems and methods for increasing radar resolution by, for example, combining radar information. In one embodiment, beamforming is performed using radar units that are individually coherent but collectively do not need to be coherent. Each radar transmits and receives its own signal to process and generate target information including beamforming information and / or virtual receiver channel information. The target information from each radar is then merged or summed into a combined beamforming based on all the target information received from all the radar units. When the radar units used in this manner are separated by a distance, the resulting beamforming information is representative of an aperture / resolution based on the total space or distance between the radar units. Thus, having an improved resolution, benefits such as improved target resolution (e.g., size, position, and detection) can be achieved.

A system in a vehicle includes a transmitter of a radar system to transmit energy and a receiver of the radar system to receive reflections based on reflection of the energy transmitted by the transmitter by one or more objects. The system also includes a controller to process the reflections obtained during a predefined duration to estimate a range, azimuth angle, and relative velocity for each of the one or more objects by obtaining acceleration information from an inertial measurement unit (IMU) of the vehicle. An operation of the vehicle is controlled based on information about the one or more objects from the radar system.

Disclosed is a transmit method based on satellite massive Multiple-Input Multiple-Output (MIMO) integrated sensing and communication, where a satellite end is equipped with a massive MIMO array to implement an integrated sensing and communication system. The satellite end sends a communication signal to multiple user terminals based on statistical properties of electromagnetic wave propagation, and detects multiple targets simultaneously, thus realizing simultaneous communication of the satellite end with the user terminals and sensing for the targets. The present disclosure fully utilizes the spectrum resources, implements a flexible switch between wireless communication and target sensing functions based on a satellite, and mitigates the effects of the beam squint on system performance, thus greatly improving communication performance and radar resolution and being applicable for construction of an integrated network of space, air, ground and sea to achieve global coverage.

The invention discloses an RSU antenna integrated with an artificial intelligence technology, and belongs to the field of RSU antennas. The RSU antenna integrated with the artificial intelligence technology comprises a DSRC module, an information collection module, an artificial intelligence processing module, a control module and a power supply and communication interface module. The problems that in the prior art, the resolution ratio is relatively low, the resolution ratio of a microwave radar is relatively low, the anti-interference performance is relatively weak, the wave beam is wide, and the resolution capability and the angle measurement precision are insufficient are solved, the camera and the radar are fused, the radar resolution capability and the angle measurement precision are improved, and the angle measurement precision is improved. Moreover, the method is beneficial to resisting electronic interference, clutter interference, multipath reflection interference and the like, improves the measurement precision and the resolution capability of distance and speed, can analyze target features, can effectively supplement regions which cannot be involved by a radar, achieves the rapid and accurate vehicle feature recognition, tracking and positioning functions, supports the rapid transaction between an RSU antenna and a vehicle-mounted OBU, and improves the reliability of the vehicle-mounted OBU. And the lane passing efficiency is improved.

The application discloses a kind of methods and systems for generating airborne radar low observable waveform facing uncertain target scattering characteristics, the method includes: based on spatial information interaction theory, the expected interaction information amount between target scattering signal and radar receiving signal of maneuvering target in state transition angle interval is constructed, from the angle of intercept receiver signal processing link, with the log-likelihood ratio expected value of intercepted signal and the interaction information amount between intercept receiver input and output signal, fusion construction intercept-identification joint performance evaluation index;Under the given transmitting power constraint, the frequency domain waveform multi-objective optimization model with the maximum radar expected interaction information amount and the minimum intercept-identification joint performance index as target is constructed, and is converted into convex optimization problem for solving;Based on random sequence step frequency modulation signal, the time domain waveform implementation mode satisfying the frequency domain optimization result is designed, and the performance of the designed waveform is verified;The application satisfies radar resolution performance.

The present application relates to the technical field of geological disaster monitoring and early warning, and in particular to a slope radar data accurate visualization method, a readable storage medium and equipment. The method comprises the following steps: obtaining a data set by using a radar; performing data preprocessing; converting three-dimensional terrain point coordinate values to a two-dimensional polar coordinate space to obtain polar coordinates corresponding to the three-dimensional terrain points; matching the slope radar resolution unit with the three-dimensional terrain points, and calculating the three-dimensional space coordinates corresponding to the slope radar resolution unit. The method of the present application maps three-dimensional space to polar coordinates, preliminarily screens the three-dimensional terrain points near the slope radar resolution unit in combination with a buffer zone, then secondarily screens the nearest three-dimensional terrain points in the four directions of up, down, left and right, and finally estimates the accurate three-dimensional space coordinates of the slope radar resolution unit by using the inverse distance weighted interpolation method, thereby realizing one-to-one correspondence between the radar monitoring data two-dimensional polar coordinates and the three-dimensional space coordinates, accurate mapping, and providing a basis for subsequent data visualization and monitoring and early warning analysis.

The present disclosure provides a method, a device, an electronic apparatus, and a storage medium for object classification and relates to the technical field of radar sensors. The method comprises: identifying a plurality of objects using a hybrid radar sensor; determining the nearest object to a target object, as well as determining a first polar coordinate corresponding to the target object and a second polar coordinate corresponding to the nearest object; calculating a distance difference and an angular difference between the target object and the nearest object based on the first and second polar coordinates; determining a Gaussian distribution function of the target object in the polar coordinate system using a preset variance of a Gaussian distribution; and calculating a probability result based on the distance difference, the angular difference,Using radar resolution and the Gaussian distribution function, the target object and the nearest object are identified as the same object, and a classification result of the target object is determined based on the probability result. Through the Gaussian variance, the present disclosure achieves the output of an object classification probability in a hybrid radar sensor, which ensures computational efficiency and simultaneously expands the application scenarios of the radar.

Various technologies described herein pertain to systems and methods for increasing radar resolution by, for example, combining radar information. In one embodiment, beamforming is performed using radar units that are individually coherent but collectively do not need to be coherent. Each radar transmits and receives its own signal to process and generate target information including beamforming information and / or virtual receiver channel information. The target information from each radar is then merged or summed into a combined beamforming based on all the target information received from all the radar units. When the radar units used in this manner are separated by a distance, the resulting beamforming information is representative of an aperture / resolution based on the total space or distance between the radar units. Thus, having an improved resolution, benefits such as improved target resolution (e.g., size, position, and detection) can be achieved.

The present invention relates to a method for calculating the effective detection distance of a lidar along the entire tunnel route, a device, and a medium. The method comprises: performing tunnel modeling on the basis of as-built drawings for post-construction survey of a track; and calculating the effective detection distance of a radar at each point on the track on the basis of an established tunnel model, wherein the calculation comprises: setting a certain point as a starting point, and the center of an object in a tunnel cross-section at a first set distance from the point as an end point; calculating, within the distance from the starting point to the end point, included angles between the lines connecting all tunnel points to the starting point and the line connecting the starting point to the end point; if there is an included angle smaller than the radar resolution, setting a point obtained by moving the end point back toward the starting point by a set distance as a new end point; and then repeating the calculation process until within the distance from the starting point to the end point, the included angles between the lines connecting all the tunnel points to the starting point and the line connecting the starting point to the end point are all greater than the radar resolution, and in this case, the distance from the end point to the starting point is the effective detection distance at the starting point. Compared with the prior art, the present invention has the advantages of high calculation precision.

A high precision geocoding method for a ground-based synthetic aperture radar image is provided, which relates to the technical field of ground-based synthetic aperture radar data processing. Geometric mapping registration is performed on radar two-dimensional imaging information and topographic data in a monitoring area to achieve mutual transformation between a two-dimensional polar coordinate system of radar and a spatial three-dimensional point cloud coordinate system and determine spatial position information of deformation of a unique side slope ground object target in a radar resolution unit. Moreover, radar time sequence deformation data may be converted into information of deformation along a major sliding direction of the side slope by determining projection transformation parameters of a side slope sliding vector and a line-of-sight direction vector.

Various technologies described herein pertain to systems and methods for increasing radar resolution by, for example, combining radar information. In one embodiment, beamforming is performed using radar units that are individually coherent but collectively do not need to be coherent. Each radar transmits and receives its own signal to process and generate target information including beamforming information and / or virtual receiver channel information. The target information from each radar is then merged or summed into a combined beamforming based on all the target information received from all the radar units. When the radar units used in this manner are separated by a distance, the resulting beamforming information is representative of an aperture / resolution based on the total space or distance between the radar units. Thus, having an improved resolution, benefits such as improved target resolution (e.g., size, position, and detection) can be achieved.

This invention relates to the field of radar testing technology, and provides a passive calibrator and calibration method for radar penetration detection within a medium. The passive calibrator includes: a calibration element, a connecting rod, and lifting rings. The calibration element is configured to be disposed inside the penetrating medium, and includes a mounting base and reflectors. Multiple reflectors are arranged circumferentially along the central axis of the mounting base, with one end of each reflector connected at the central axis, forming a reflecting surface between adjacent reflectors. Two calibration elements are provided, with both ends of the connecting rod connected to the two calibration elements respectively. Two lifting rings are provided, located at the ends of the two calibration elements furthest from the connecting rod. The passive calibrator for radar penetration detection within a medium provided by this invention avoids the influence of surface scattering on the calibration results, enabling omnidirectional acquisition of the radar signal reflected by the calibrator. It also verifies the internal penetration detection resolution of the radar detection system, achieving a combined function of calibration and radar resolution verification.

This invention discloses a 3D scanning lidar, a lidar scanning method, and an unmanned forklift. The method establishes a mathematical model of the relationship between rotational speed and the spatial angular distribution of a point cloud. It fixes the spindle rotational speed r1 and adjusts the high-speed rotational speed r2 to form a non-integer proportional motion, achieving non-repetitive scanning to generate a uniform point cloud. Based on the model, it calculates the point cloud uniformity index δS, generates a feature map, and selects the optimal rotational speed to support switching between uniform, progressive, or repetitive scanning modes. Furthermore, through pre-calculated gyro effect compensation and bidirectional laser arrangement, it forms a cross-shaped oblique grid, improving boundary recognition accuracy; adjusting the ratio of r1 to r2 controls the grid angle, achieving acute, right, or obtuse angle grids. This invention overcomes the problems of traditional radar resolution being limited by the number of modules, slow coverage speed, and complex control. Through open-loop control and dynamic adjustment, it reduces cost and power consumption, improves point cloud density and task adaptability, and is applicable to fields such as autonomous driving and robotics.

The invention provides a space-based and air-based radar cooperative detection method, device and equipment for a sea-skimming stealth target and a storage medium. Relates to the technical field of radar detection simulation. The method comprises the following steps: acquiring a space-based radar frequency, an azimuth angle and a pitch angle, and determining a sea-skimming target and marine environment simulation parameters; calculating a target double-station RCS and an ocean double-station scattering coefficient; according to the target double-station RCS and the ocean double-station scattering coefficient, the echo signal-to-clutter ratio in a single radar resolution unit of each azimuth angle is calculated; based on the distribution rule of the echo signal-to-clutter ratio along with the receiving azimuth angle, taking the azimuth angle corresponding to the minimum value of the signal-to-clutter ratio as the azimuth of the receiver; and changing the pitch angle at least once, recalculating the echo signal-to-clutter ratio until the azimuth angle of the receiver is located in the forward scattering target area, and taking the currently determined azimuth angle of the receiver as the final deployment azimuth of the airborne receiving radar. According to the invention, long-distance detection of the ultra-low penetration defense stealth target can be realized.

The invention discloses a method for simulating tracks of two radars, which comprises the following steps of: carrying simulation equipment by using an unmanned aerial vehicle, calculating echo simulation parameters according to preset simulation track information, simulation track sampling points of the two radars and motion control information of the unmanned aerial vehicle and according to a relationship among the simulation track sampling points, the radars and the simulation equipment; the unmanned aerial vehicle is controlled to move, the simulation equipment radiates a radar echo simulation signal, a target trace point is formed in a predetermined radar resolution unit, the radar pushes target information to the command and control system, and the system judges and fuses the target information into the same batch of targets; according to the invention, a single simulation device is used for simulating the same batch of targets for two radars, the working capability of the simulation device is provided, and the influence of a space-time condition fusion gate, a far-field condition and an antenna beam of the simulation device on the deployment position of the simulation device when different track types are simulated is analyzed in an emphasized manner. Theoretical guidance can be provided for two radars to simulate the same batch of target tracks, and the track simulation cost is reduced.

The present application belongs to the technical field of geological disaster monitoring, and particularly relates to a method for dynamically measuring the velocity of a surface flow field of a debris flow in a complex environment based on radar and vision fusion. The method comprises: establishing a joint calibration model of a millimeter wave radar and a camera to achieve spatio-temporal alignment of data from heterogeneous sensors; collecting a video image sequence to calculate a dense visual velocity field; at the same time, constructing a high-confidence sparse radar velocity field from a millimeter wave radar CFAR point cloud; constructing an environment perception adaptive weight model to dynamically calculate a fusion weight based on image texture richness and radar signal-to-noise ratio, and to perform pixel-level weighted fusion and correction on the visual dense flow field and the radar sparse flow field, and finally obtaining a high-robustness velocity vector distribution. The present application effectively solves the problems of large interference of a single visual sensor by light, rain and fog, and low resolution and lack of texture information of a single radar, and realizes all-weather high-precision fluid velocity measurement.

An object classification method and apparatus, an electronic device, and a storage medium, relating to the technical field of radar sensors. The method comprises: in a preset simulation environment, identifying a plurality of objects by means of a hybrid radar sensor (S100); in the preset simulation environment, determining the nearest object closest to a target object and, in a polar coordinate system using the hybrid radar sensor as the pole, separately determining first polar coordinates corresponding to the target object and second polar coordinates corresponding to the nearest object (S200); according to the first polar coordinates and the second polar coordinates, calculating a distance difference value and an angle difference value between the target object and the nearest object (S300); by means of a preset Gaussian distribution variance, obtaining a Gaussian distribution function of the target object in the polar coordinate system (S400); according to the distance difference value, the angle difference value, a radar resolution and the Gaussian distribution function, calculating an outcome of probability that the target object and the nearest object are identified as the same object (S500); and, according to the outcome of probability, determining a classification result of the target object (S600). By means of the Gaussian variance, the method outputs an object classification probability in the hybrid radar sensor, thereby extending radar application scenarios while ensuring calculation efficiency.

The application discloses a kind of methods and systems for generating airborne radar low observable waveform facing uncertain target scattering characteristics, the method includes: based on spatial information interaction theory, the expected interaction information amount between target scattering signal and radar receiving signal of maneuvering target in state transition angle interval is constructed, from the angle of intercept receiver signal processing link, with the log-likelihood ratio expected value of intercepted signal and the interaction information amount between intercept receiver input and output signal, fusion construction intercept-identification joint performance evaluation index;Under the given transmitting power constraint, the frequency domain waveform multi-objective optimization model with the maximum radar expected interaction information amount and the minimum intercept-identification joint performance index as target is constructed, and is converted into convex optimization problem for solving;Based on random sequence step frequency modulation signal, the time domain waveform implementation mode satisfying the frequency domain optimization result is designed, and the performance of the designed waveform is verified;The application satisfies radar resolution performance.

The invention discloses a 3D scanning laser radar, a laser radar scanning method and an unmanned forklift. According to the method, a mathematical model of a rotation speed relation and point cloud space angle distribution is established, a main shaft rotation speed r1 is fixed, a high-speed rotation speed r2 is adjusted to form non-integer proportional motion, and non-repeated scanning is realized to generate uniform point cloud. And calculating a point cloud uniformity index delta S based on the model, generating a characteristic spectrum, and selecting an optimal rotating speed to support uniform, line-by-line or repeated scanning mode switching. Furthermore, through pre-calculated gyroscopic effect compensation and bidirectional laser arrangement, a crossed oblique line grid is formed, and the boundary recognition precision is improved; and adjusting the ratio of r1 to r2 to control the grid angle so as to realize an acute-angle, right-angle or obtuse-angle grid. The problems that the resolution of a traditional radar is limited by the number of modules, the coverage speed is low, and control is complex are solved, through open-loop control and dynamic adjustment, cost and power consumption are reduced, the point cloud density and task adaptability are improved, and the method is suitable for the fields of automatic driving, robots and the like.

The invention relates to the technical field of radar testing, and provides an in-medium passive scaler for radar perspective detection and a calibration method. The passive calibrator comprises a calibration piece, a connecting rod and a hanging ring, the calibration part is configured to be arranged in the penetrating medium and comprises a mounting seat and a plurality of reflecting plates, the plurality of reflecting plates are circumferentially arranged along the central axis of the mounting seat, one ends of the plurality of reflecting plates are connected at the central axis, and a reflecting surface is formed between every two adjacent reflecting plates; two ends of the connecting rod are respectively connected with the two calibration parts; the two hanging rings are arranged at the ends, away from the connecting rod, of the two calibration pieces correspondingly. According to the in-medium passive scaler for radar perspective detection, the influence of surface scattering on a calibration result is avoided, radar signals reflected by the scaler can be collected in an omnibearing mode, the in-medium perspective detection resolution of a radar detection system can be verified, and the comprehensive functions of calibration and radar resolution verification are achieved.

The disclosed embodiment discloses a photon-assisted de-skew receiving system for an azimuth multi-antenna high-resolution wide-band imaging radar, the system comprising: an antenna array element, a photon-assisted de-skew receiving module and a digital signal processor; the antenna array element receives an echo signal; the photon-assisted de-skew receiving module comprises: an optical reference signal source generates an optically-carried linear frequency modulation signal; a delay unit divides the optically-carried linear frequency modulation signal into multiple reference signals and delays each reference signal; a mixing and filtering unit mixes the echo signal with the optical reference signal and filters to select the de-skew signal. The disclosed method of photon-assisted de-skew receiving can process broadband signals with a low-speed ADC, which is beneficial to further improve the radar resolution; the system structure is simplified by using optical wavelength division multiplexing and polarization multiplexing technology, which can more easily build a multi-antenna, multi-channel system; the azimuth multi-antenna technology is integrated with the photon-assisted de-skew receiving technology, and the de-skew receiving technology is extended to the application of high-resolution wide-band imaging radar.

The invention provides a device and method for detecting the resolution of a drill-borne laser radar, and relates to the field of laser radar performance detection, and the method comprises the steps: reproducing an extreme environment condition of a drilling site; the bionic target simulates a real rock stratum; laser radar signals are collected at high precision under extreme interference; the acquired signals are processed based on prior knowledge, and a resolution index is inverted; and based on the convolutional neural network, analyzing the resolution index to obtain a high-confidence resolution index, and carrying out intelligent grading evaluation on the detection precision of the laser radar. The problems that a traditional device cannot adapt to the extreme drilling environment and the detection result distortion rate is high are effectively solved, and accurate, reliable and intelligent detection of the laser radar resolution in a laboratory is achieved.

This invention discloses an optimization method for multi-aircraft formation cooperative deception jamming based on genetic algorithms, belonging to the field of electronic countermeasures technology. This method addresses the problems of discrete false targets generated by existing multi-aircraft deception jamming techniques, which are easily identified and filtered by radar networks. First, a system model including aircraft formation, radar network, and flight area is established. Then, a cooperative jamming evaluation model is constructed. By calculating the spatial distance between false target pairs generated by different aircraft against different radars and comparing it with radar resolution thresholds, the jamming effectiveness of the formation is quantified. Finally, using this evaluation model as the objective function, a genetic algorithm is used to iteratively optimize the spatial positions of multiple aircraft, searching for an aircraft formation scheme that maximizes the spatial overlap of false targets. This invention can automatically generate optimized aircraft formation positions, significantly improving the cooperative deception jamming effectiveness of multi-aircraft formations against radar networks.

A high precision geocoding method for a ground-based synthetic aperture radar image is provided, which relates to the technical field of ground-based synthetic aperture radar data processing. Geometric mapping registration is performed on radar two-dimensional imaging information and topographic data in a monitoring area to achieve mutual transformation between a two-dimensional polar coordinate system of radar and a spatial three-dimensional point cloud coordinate system and determine spatial position information of deformation of a unique side slope ground object target in a radar resolution unit. Moreover, radar time sequence deformation data may be converted into information of deformation along a major sliding direction of the side slope by determining projection transformation parameters of a side slope sliding vector and a line-of-sight direction vector.

The invention discloses a multi-machine formation collaborative deception jamming optimization method based on a genetic algorithm, and belongs to the technical field of electronic countermeasures. Aiming at the problem that false targets generated by multi-aircraft deception jamming in the prior art are discrete and are easily recognized and filtered by a radar network, the method comprises the following steps: firstly, establishing a system model comprising an aircraft formation, a radar network and a flight area; then constructing a cooperative interference evaluation model, calculating the spatial distance between false target pairs generated by different airplanes to different radars, and comparing the spatial distance with a radar resolution threshold to quantify formation interference efficiency; and finally, taking the evaluation model as a target function, carrying out iterative optimization on the spatial positions of multiple aircrafts by utilizing a genetic algorithm, and searching to obtain an aircraft formation scheme capable of enabling false targets to coincide in space to the maximum extent. According to the method, the optimized aircraft formation position can be automatically generated, and the cooperative deception jamming efficiency of the multi-aircraft formation to the radar network is remarkably improved.