Simulation and Research of Passive Target Adaptive Tracking Algorithm
Zhong Liu · Jisuanji fangzhen · 2004
Concerning the problem of instability and low accuracy of the passive filter in bearings-only target tracking, a modified polar coordinate adaptive extended Kalman filter(MPAEKF) algorithm is presented. Owing to estimating the statistics of the state virtual noise on-line, it overcomes the bad effect caused by linearization of nonlinear state model. The simulation result shows that the MPAEKF improves the filter convergence rate and the accuracy.