Research On Optimization Method Of Transmitting And Receiving For Full Polarization Radar Based On Prior Information

The problem of target detection in clutter environment is one of the basic problems in the field of radar.With the widespread use of stealth materials,the radar cross section of the target becomes smaller,the target echo energy is weakened,and the signal-to-clutter ratio decreases,which brings severe challenges to the target detection system.The fully polarized radar can make full use of the polarization information of the target and significantly improve the detection probability of the target.In recent years,related polarization filtering and target detection technologies have received more and more attention.This paper mainly studies the polarization filtering and target detection algorithms under different systems.Under the premise of making full use of the prior information of the target and clutter,the performance of polarization filtering and target detection is improved by optimizing the transmission and reception polarization methods.The relevant algorithms are fully verified through actual measurement data.The main content and research results are as follows:1.Research on the filtering algorithms of all-polarization radars suitable for different systems:(1)Under the simultaneous full polarization system,three polarization filtering algorithms are studied: direct solution algorithm,virtual polarization filtering algorithm and iterative filtering algorithm.Under the premise that the priori information of the target and clutter is known,three algorithms are used to process the measured data of the fully polarized radar,and the clutter suppression and target enhancement effects of the three algorithms are compared.(2)Under the time-sharing full polarization system,to maximize the signal-to-clutter ratio as the optimization criterion,this paper proposes a polarization filtering algorithm that can improve the clutter suppression performance by adjusting the ratio of the horizontal and vertical polarization pulses at the transmitter.And given the detailed algorithm processing flow and the verification result based on the measured data.2.Under the condition that the prior information of the target and clutter is known,this paper presents a joint optimization algorithm of polarization transmission and reception based on the prior information,so that the optimized polarization detection algorithm can obtain the best transmission Receiving polarization mode.This makes up for the defect that the traditional detection algorithm only designs the transceiver joint vector and cannot specify the specific transmit and receive polarization mode.The simulation results show that the target detection algorithm optimized by transmitting and receiving has higher detection performance.3.In view of the fact that the priori information of the target and clutter cannot be fully obtained in engineering,this paper studies a joint optimization algorithm of polarization transmission and reception based on partial prior information,and analyzes the relationship between the joint vector of transmission and reception and polarization detection performance.In the simulation experiment,the effects of different transceiver polarization modes on the detection performance are compared.The simulation results show that optimizing the transmit and receive polarization modes can significantly improve the detection performance of the fully polarized radar system.Finally,multiple targets in the echo are effectively detected through actual measurement data processing,which further verifies that the joint optimization algorithm of transmit and receive has high detection performance.