The Methods For Deception ECCM On Multiple-radar System

Multiple-radar cooperative anti-jamming technology is an effective way to improve anti-jamming capability.Each radar in the system can be linked into a network to form a networked detection system and work together to combat complex electromagnetic interference.Through the optimization of the radar stations formation,it takes up multiple viewing angles,frequency bands and working modes to form a signal space with high signal intensity,and fulfills the sharing and fusion information by multi-platform or multi-sensor.The multiple-radar architecture is able to effectively identify the target and suppress interference;it would greatly improve the systematic anti-jamming capability of the system;And through scheduling and management of the radar's working methods,multiple-radar architecture increases the difficulty of the enemy's interference with the entire system.This dissertation are classified into data level and signal level to finish the methods of counteracting deceptive jamming and resource optimization.The main results include:Based on the isomorphism radar system,a method to optimize the deployment of multi-station radars for deception jamming is proposed to achieve a joint optimized deployment station with the lowest probability of being deceived and the largest coverage of the radar network.Firstly,the ability of two radars' data-level fusion to resist deception jamming is studied theoretically,and the theory deception probability of multi-radar system is deduced through the "take and get" rule;then,theoretic value is used to study the optimal deployment of multi-station radars under deception jamming;finally,a simulation analysis of the optimized deployment of multi-station radar is conducted to obtain the distribution of multi-station radar under different weighted distribution conditions.At the same time,the existing model ignores the site error on each radar,and thus affects the anti-jamming performance of the multi-station radar to targets.For this reason,an anti-deception jamming method considering the site error is proposed.By improving the data fusion algorithm between the radar nodes in the multi-station radar system,improving the identification probability of true targets and the deception probability of false targets by multi-station radars that are mistakenly reduced.Corrected the hidden dangers of existing algorithms and improved the model's authenticity and practicality.At the same time,because the probability of the true target is restored,unnecessary waste resources is reduced.Based on the isomerism multi-station radar system,considering the characteristics of passive radar stations operating in passive mode,a centralized active/passive multi-station radar system is proposed to deception jamming.Based on the azimuth statistics,the distance statistics or two-dimensional angle statistics,three kinds of active/passive radar false target identification methods are given.Simulation analysis of the proposed three methods proves that the anti-jamming method based on two-dimensional angle statistics effectively improves the performance of anti-cooperative deception interference.For distributed active and passive multi-station radar systems,a method of combat deception interference in active/passive radars based on distributed fusion structure is proposed.The method firstly associated inspects the trace point information in active radar and passive radar.In the case of a successful association,the measured values in active radars which is integrated to passive radars is used for track initiation and utilized the correlation results to identify the true and false targets to eliminate some of the false targets.For the false targets that have formed a stable track in the active radar,the track correlation test is further used to eliminate the false targets.Based on the analysis of the correlation coefficient derived from the existing circular model which the effective target size is constant,a rectangular scattering model is used to represent the targets that can change in different angles and poses.It is deduced that the echo correlation coefficient of the target in the spatial and frequency diversity multi-station radar system is determined by the observation angle of each radar station,the target size,the spatial and the frequency interval and other factors.Compared with the original circular model,the rectangular scattering model can better represent the influence by the target pose changing affected on the target aperture,and then affect the echo correlation.On the basis of the rectangular uniform scattering model,the method of superposition of the strong scattering point and the uniform scattering point is proposed to more accurately reflect the influence of the target by high scattering intensity at the target apex and the dividing line on the echo correlation.Through simulation analysis,we can confirm that the model proposed in this chapter can deal with more kinds of target scattering and simulate the real target more effectively.Based on the process of authenticating the detected target with the parameter estimation information of the target,too many radar stations can seriously increase system resources and generate unnecessary energy consumption.There is a selection algorithm that radar stations with better performance and better position are used to replace all radar station system.For the case of constant anti-spoofing interference performance,this paper proposes a sub-matrix selection method that can effectively reduce the number of radar stations which is under the premise of achieving the ensuring system requirements for the anti-spoofing interference performance.It reduces the computational complexity drastically,and more than half of the radar is saved.In the case of limited resources,a sub-matrix selection method is considered which radar stations achieve the optimal false target identification probability under the condition that the number is constant.When the number of radar stations is specified,iteratively selected radar stations combine to get better spatial positions.Under the condition of lack resources,the false target identification performance is maximized.