Distributed Adaptive Two-stage Kalman Filter for Target Tracking in the Presence of Unknown Dynamic Bias

摘要：

　　This paper is concerned with the problem of tracking target with multiple sensors in the presence of unknown dynamic bias.A suboptimal adaptive two-stage Kalman filter(ATKF)is designed with two reduce-order filters to estimate the target state and the dynamic bias in parallel when the bias model information is incomplete.Moreover,a distributed adaptive two-stage Kalman filter(DATKF)is developed for multi-sensor system based on the ATKF.The effectiveness of the ATKF and the DATKF are illustrated by the Monte Carlo simulation results.

关键词： Dynamic Bias Adaptive Two-stage Kalman Filter Distributed Fusion Multi-sensor System

作者: ZHANG Cui JIA Yingmin DU Junping ZHANG Jun

作者单位: The Seventh Research Division and the Department of Systems and Control,Beihang University(BUAA),Bei Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia,School of Computer School of Electronic and Information Engineering,Beihang University(BUAA),Beijing 100191,P.R.China

会议类型: 国际会议

会议名称: The 33th Chinese Control Conference第33届中国控制会议

会议地点: 南京

会议语种:英文

页码: 7216-7221

在线出版日期: 2014-07-28（万方平台首次上网日期，不代表论文的发表时间）