Study On Strategy And Simulation Of Anti-Jamming In Multiple-Radar

Multiple-radar system can effectively resist deceptive jamming according to multiple station information.To deal with a complicated electromagnetic interference environment,the radar stations in the system can communicate and collaborate with each other.The anti-jamming performance of the system is effectively improved through queue optimization of different radar stations and information sharing and information fusion of radars occupying multiple frequencies,angles and different working modes.Our work focuses on the anti-interference method and the resource optimization method based on the signal level data fusion.The primary works are shown as follows.Firstly,at the signal level,the working process of an anti-deception jamming method based on parameter estimation is studied,and the estimation method of deception distance and false target identification algorithm are introduced in detail.Based on the echo model of multiple-radar system,the deceptive distance can be estimated by the proposed parameter estimation method.Next,the Cramer-Rao Lower Bound(CRB)of deception distance can be obtained by using cramero matrix,and the discriminator is constructed to identify the true and false target.The numerical simulation shows that the identification performance is related to the deceptive distance,signal noise ratios(SNR),and the layout and quantity of radar stations.Secondly,considering that the identification performance in the method of true and false target identification using estimated deception distance is related to the radar location and station selection method of multiple-radar system,and surplus radar stations can cause system burden and resource shortage.A transmit radar optimization selection method based on maximum false identification probability is proposed.The proposed optimization means that the limited number of the transmit radar stations is selected to detect and identify the target,reasonably.The optimization method can effectively improve the utilization of the transmit station.On the basis,the selection of receive stations is introduced into the optimization problem,that is,a joint transmit-receive stations optimization selection method is proposed when the number of selected transmit and receive stations is determined,respectively.This method aims to solve how to select transmit and receive stations to achieve the optimal false target identification performance.Finally,the simulation results shows that the optimal identification performance of false targets can be obtained when the number of selected transmit and receive stations is limited.Finally,due to the power resources of a multiple-radar system are limited in practice,it is important to allocate the power of each transmit station reasonably in order to achieve the optimal false identification performance.It can be found that the false target identification probability is directly related to the deception distance and the CRB of the deception distance.Therefore,a transmit station power optimization method based on minimizing the CRB of deception distance is proposed to improve the estimation accuracy of deception distance and the identification performance of false target.The optimization problem can be transformed into a SDP problem by transformation.Based on it,the cognitive anti-jamming framework of multiple radar system is constructed to apply to the moving target scene.The power of the transmit station can be optimized to obtain the optimal performance of the deceptive parameter estimation accuracy and false identification performance in real time by using the proposed power optimization algorithm.The effectiveness of the proposed algorithm framework and power optimization method can be verified by numerical simulations.