Research On Algorithms Of Passive Dual Base Stations Multi-target Tracking

With the continuous improvement of the strategic position of the marine environment in the country,underwater multi-target tracking technology has become a research hotspot.Because of uncontrollable or human factors,a complex target group composed of multiple targets is formed in a certain space.For example,the formation of warships,missiles,aircraft and so on,these targets have the characteristics of similar moving speed.At the same time,due to the uncertainties of the number of targets,the maneuverability of targets and the impact of environment,multi-target tracking still faces enormous challenges.Based on the above background,the passive dual-base station multi-target tracking algorithm is studied in this paper.Firstly,the basis of passive dual-base station multi-target tracking is studied.The influence of base station distance and azimuth measurement error on positioning performance is analyzed by using control variable method.The performance of Kalman filter and particle filter in linear model is analyzed by simulation,and the performance of extended Kalman filter and particle filter in non-linear model is analyzed.Secondly,the passive multi-target tracking algorithm based on JPDA without considering the target's birth and death is studied.A non-maneuvering multi-target tracking algorithm based on conventional JPDA is studied.Aiming at the problem of target tracking errors and tracking loss when target motion intersects in conventional JPDA algorithm,an improved JPDA algorithm based on intersection decision and iterative smoothing is proposed.The multimaneuvering target tracking algorithm based on IMM-JPDA algorithm is studied.The influence of different parameters on the performance of the algorithm is analyzed through simulation experiments.Finally,a passive multi-target tracking algorithm based on stochastic finite set theory is studied in the case of target birth and death.The passive multi-target tracking algorithm based on GM-PHD is studied.Aiming at the problem that GM-PHD algorithm can not realize track identification,a passive multi-target tracking algorithm based on LGM-PHD algorithm is studied,and the performance of multi-target tracking is analyzed by OSPA.Aiming at the problem that LGM-PHD algorithm needs prior information of new target strength,an adaptive new target strength LGM-PHD algorithm(ALGM-PHD)based on measurement is proposed.The effectiveness of the above algorithm is analyzed through simulation experiments.