Strong Tracking Filter with Application to Bearings-only Passive Maneuvering Target Tracking
Zhu Sheng-li · Jisuanji fangzhen · 2009
A new strong tracking filter is presented was proposed for the problem of bearings-only passive maneuvering target tracking.The algorithm has 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 EKF(MGEKF) algorithm.The pseudo-linear estimation(PLE) is used to restructure the nonlinear measurement equation.Monte Carlo simulation results show that this algorithm is better than MGEKF.