Research On Distributed Recognition Technology Of True-false Warhead Based On MIMO Radar

The topic of true-false warhead recognition has always been the hot topic in the field of radar target detection. Multiple Input Multiple Output(MIMO) radar is a new type radar system. It can be classified two categories: co-located antennas MIMO radar and widely separated antennas MIMO radar. Due to the characteristics of wide observation area and diversified modes of working, MIMO radar has great advantage in the field of target detection. This dissertation studied the multi-dimensional micro motion state space model of true-false warhead, and proposed a new algorithm for recognition true-false warhead with widely separated MIMO radar. And we analyzed the distributed detection of recognition true-false warhead using the new algorithm. The contributions and innovations of this dissertation are listed as follows:The dissertation concluded and analyzed the motion characteristics and differences of ballistic target in its each movement stages. And we focus on analysis of the centroid trajectory and several typical micro motions in mid-stage of ballistic target. A movement mathematical model of ballistic target is built in the dissertation.By independent observation target from different space and angle, widely separated MIMO radar can improve the detection performance for true-false warhead recognition. It is significant for true-false warhead recognition issue. The working principle of widely separated MIMO radar is brief introduced. The dissertation research the signal model of target echo signal and the distributed processing for true-false warhead recognition. It provides a theoretic mathematic foundation for further studying the distributed detection algorithm for true-false warhead recognition.A state space model of true-false warhead target for distributed MIMO radar is proposed. The motion differences are embodied in state parameter matrix. By detecting the differences of state parameter matrix, the locally optimal detection algorithm can realize the detection for true-false warhead recognition. In view of the low real-time deficiency of the traditional methods in composite hypothesis test which need to estimate the state parameter matrix, the dissertation creatively propose a locally optimal detection algorithm, which applies to recognition ballistic target with MIMO radar. The detection performance has improved and the real-time can meet the requirement of missile defense system by simulation analysis.In view of the number of transmit-receive paths of widely separated MIMO radar is large and they are distributed widely, which can easy to lead to data transmission loss and overload of communication. The dissertation proposes a blocked for received antennas and adopts distributed detection algorithm. The detection performance of distributed detection can be optimized and improved by optimized the local detection、optimized the fusion criterion of fusion center and adoption the suitable blocked rule. We prove the theoretical analysis is correct by simulation analyze.