Bearing-only tracking algorithm for underwater passive target
Cao Zhan-q · Electronic Design Engineering · 2014
The method base on PF for motion estimation is proposed according to the characteristics of non-Gaussian noise environments and weak observability in underwater passive target tracking system.The algorithm utilizes angle data of sensor with noise.Posteriori probability distribution of target is obtained through system equation in Modified Polar Coordinates and the target state is estimated. The simulation results show that the algorithm enhance the stability of filter and has good performances of tracking accuracy than extended Kalman filter and unscented Kalman filter.