Strong Tracking Filter with application to bearings-only passive maneuvering target tracking

摘要

A new application of strong tracking filter(STF) is presented for the problem of bearings-only passive maneuvering target tracking in two-dimension.STF was proved to be a suitable algorithm for fault diagnosis and adaptive control as statement estimation.Using STF, the algorithm have strong robustness against model mismatching by adjusting the gain matrix on-line, and it can avoid big error caused by searching inaccurate modified function in Modified Gain extended kalman filter (MGEKF) algorithm. The Pseudo-linear estimation (PLE) is used to restructure the nonlinear measurement equation. It can solve the problem of filter divergence in applying EKF. Monte Carlo simulation results show that this algorithm is better than MGEKF.