指挥控制与仿真Issue(6)：66-70,5.DOI:10.3969/j.issn.1673-3819.2015.06.014
基于UD迭代扩展卡尔曼滤波的纯方位机动目标定位与跟踪
Bearings-only Maneuvering Target Localization and Tracking Based on UD Iterative Extended Kalman filter
胡雄飞 1苗艳 1刘凯1
作者信息
- 1. 江苏自动化研究所，江苏 连云港 222061
- 折叠
摘要
Abstract
Study on the traditional bearings⁃only target localization and tracking focuses on the constant velocity targets, while targets often do maneuver in real situation. So according to the bearings⁃only maneuvering target localization and track⁃ing problem, a new adaptive algorithm based on UD iterative extended Kalman filter is proposed. The algorithm which com⁃bines the UD filter with iterative extend Kalman filter improves the precision of the filter. The divergence of the filter is inhib⁃ited, and the stability of the filter is also increased. On the other hand, the detection of the normalized innovations square of the filter is used to fix the results adaptively by adjusting the system noise covariance matrix. Finally the approach is simula⁃ted and the results show the effectiveness and accuracy of the algorithm.关键词
纯方位/机动目标定位与跟踪/UD滤波/自适应跟踪模型Key words
bearings-only/maneuvering target localization and tracking/UD filter/adaptive tracking model分类
信息技术与安全科学引用本文复制引用
胡雄飞,苗艳,刘凯..基于UD迭代扩展卡尔曼滤波的纯方位机动目标定位与跟踪[J].指挥控制与仿真,2015,(6):66-70,5.
