Maneuver strategy Adaptive Target Tracking Algorithm by Integrated Kalman Information Filtering

摘要：

　　This article introduces the concept of maneuver strategy and its transition probability matrix,and then builds a target tracking model with multi-motion and multi-maneuver strategy model based on these concepts in order to resolve the problem of undesired tracking performance especially when unexpected maneuver strategy changes of target occurs.To achieve further improvements in tracking accuracy,a self-adaptive algorithm for maneuver strategy transition probability matrix is proposed in this article,by utilizing the compression ratio of the maneuver strategy error.Besides,considering that most of the observation platforms are already able to provide multi-group measurements from different sensors,information filtering is combined in this article to fuse and integrate multi-group measurements,thus effectively improving estimation stability and ameliorating the inevitable soaring estimation error through targets unexpected changes of maneuver strategy.

关键词： target tracking maneuver strategy compression ratio of error information filtering

作者: Ying LI Deyun ZHOU Hao ZHANG

作者单位: School of Electronics and Information,Northwestern Polytechnical University,Xian 710129,China

会议类型: 国际会议

会议名称: 2014 Asia-Pacific International Symposium on Aerospace Technology(2014亚太航空航天技术学术会议)

会议地点: 上海

会议语种:英文

页码: 1-7

在线出版日期: 2014-09-24（万方平台首次上网日期，不代表论文的发表时间）