Research On Multi-target Direction Finding And Tracking Technology

Electronic reconnaissance is an important part of electronic warfare.The location and track of the target is the core of electronic reconnaissance.Along with the continuous progress of science and technology,the electromagnetic environment is becoming more and more complicated.The scope of target location and track has evolved from single target to multi-target.The location and track problems of multi-target are studied in this paper from two aspects: location and track.In the multi-target passive DOA location,the direction-finding cross location method is one of the most commonly used methods.Firstly,the basic principle of the direction-finding cross location is analyzed,and then the application of the direction-finding cross location in multi-target location is studied emphatically.At the same time,an improved Hough transform method is proposed to remove the false location points(also called ghosts)in the multi-target location.Multi-target track mainly includes the target track initiation,the target tracking fitering and the target track termination.This paper focuses on the multi-target track initiation and the multi-target tracking filtering.Data association technology is a key technology in the process of multi-target track.In the classical data association algorithm,the nearest neighbor method has a great advantage with less compution in the engineering multi-target data association.But its tracking accuracy is very poor and prones to misconduct.An optimized nearest neighbor data association algorithm is proposed to compensate for this flaw.Because passive location data has the characteristics of discontinuity and randomness,the classical track initiation algorithm can not be used to the passive location system.The search method is a multi-target track initiation algorithm which can be applied to the passive location system.Kalman filter is the most classical linear filtering algorithm.The extended Kalman filter is the most classical nonlinear filtering algorithm.These two filtering algorithms are often used to track the single target,while this paper focuses on how to apply these two filtering algorithm to multi-target tracking filtering.Particle filter algorithm is a new kind of filtering algorithm which emerged in recent years and is still at the stage of theoretical research.The theory of this algorithm is analyzed in this paper.