Research on an Algorithm for Passive Tracking of Nonmaneuvering Target Based on Bearings of Multiple Sonar Sensors
Passive tracking of nonmaneuvering target (target travels on a straight line at a constant speed) in water based on bearings of multiple sonar sensors is a nonlinear state estimation issue. In this paper, the preliminary estimation of target position is acquired by the least square method firstly, then the estimated position data are applied as measured values for Kalman filtering, avoiding some problems brought by applying nonlinear estimation algorithms for data fusion directly. The result of simulation shows that the algorithm mentioned in this paper is simple, the speed of convergence is fast, and the precision of tracking is superior.
multiple sonar sensors least square method kalman filtering nonmaneuvering target in water passive tracking
Zhaopeng Xu Doctoral Student Shuping Han Professor
Acoustics Center Navy Submarine Academy Qingdao, China
国际会议
太原
英文
539-542
2010-10-22（万方平台首次上网日期，不代表论文的发表时间）