Application of EPF and PF in underwater 3D bearings-only target tracking
Aiming at the problem of underwater target tracking,a three-dimensional bearings-only tracking system with static dual observation stations is taken as the research object,the basic idea and algorithm implementation steps of Particle Filter and Extended Kalman Filter are introduced,according to the established target motion model,when the target motion speed is different and the number of particles is different,simulation analysis was conducted on EPF and PF in a dual obser-vation station 3D bearings-only tracking system,and compare with UKF and EKF algorithms,the results indicate that,EPF al-gorithm has better tracking performance compared to other algorithms,and it can achieve better tracking effect without select-ing too many particles,but the tracking time is long and the real-time performance is poor.
万方数据
维普
