On robust state estimation algorithm for bearing-only tracking
Yongcheng Wang, Hongfei Wang · Kongzhi yu juece · 2005
The bearing only tracking model and its algorithm are studied. A robust state estimation algorithm is (presented) for the tracking of maneuvering target. The modified gain extended Kalman filter is employed in the state estimation and the target acceleration vector is periodically calculated in a recursive manner. The characteristics of the proposed algorithm is adaptive for (maneuvering) target. The model is simple and has no noise assumption or (model) switching. Simulation results show the effectiveness of the methoel.