Application of UKF for Passive Tracking of Maneuvering Target Based on Bearings of Two Sonar Sensors

摘要：

Passive tracking of maneuvering target in water based on bearings of two sonar sensors is a nonlinear state estimating issue. In this paper, the algorithm of Unscented Kalman Filtering (UKF) is applied to the nonlinear filtering of tracking system, and then maneuvering target could be tracked effectively based on two sonar sensors combining with the algorithm of Interactive Multiple Models (IMM).

关键词： two sonar sensors maneuvering target tracking UKF IMM

作者: Zhaopeng Xu Shuping Han

作者单位: Graduate student team two Navy Submarine Academy Qingdao, China

会议类型: 国际会议

会议名称: 2011 4th International Congress on Image and Signal Processing(第四届图像与信号处理国际学术会议 CISP 2011)

会议地点: 上海

会议语种:英文

页码: 2593-2597

在线出版日期: 2011-10-15（万方平台首次上网日期，不代表论文的发表时间）