A UKF Algorithm with Two Arrays in Bearings-Only Tracking

摘要：

One condition of the targets maneuver is coordinated type turning motion, with the characteristic that the size of the angular velocity and the velocity stay the same, while the direction of the velocity varies from time to time. It is a special kind of maneuver. This turning motion of target is actually a part of the uniform circular motion. In response to this situation, we assume that the motion model of the target is the uniform circular motion. In this case, to ensure the observability in passive target tracking, we propose bearings-only unscented kalman filtering (UKF) algorithm with two arrays to locate and track the target. In this paper, we propose UKF algorithm with two arrays to do passive tracking and compare with extended kalman filtering (EKF) algorithm. Simulation results show that bearings-only UKF algorithm with two arrays has faster convergence and better tracking accuracy than EKF algorithm.

关键词： bearings-only EKF UKF two arrays

作者: Xiaojing Su Jin Yan Shefeng Yan

作者单位: Institute of Acoustics, Chinese Academy of Sciences Graduate University of Chinese Academy of Scienc Institute of Acoustics, Chinese Academy of Sciences

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: 2740-2743

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）