Sequential Fusion and State Estimation for Asynchronous Multirate Multisensor Dynamic Systems

摘要：

　　A sequential fusion and state estimation algorithm for an asynchronous multirate multisensor dynamic system is presented in this paper.The dynamic system at the finest scale is known.There are multiple sensors observing a single target independently with different sampling rates,and the observations are obtained asynchronously.The present algorithm is shown to be more effective and efficient than the existed methods.Simulations on a radar tracking system with three sensors are done and show the effectiveness of the present algorithm.

关键词： state estimation sequential fusion asynchronous multirate multisensor Kalman filter

作者: Lu Jiang Liping Yan Bo Xiao Yuanqing Xia Mengyin Fu

作者单位: School of Automation,Key Laboratory of Intelligent Control and Decision of Complex Systems,Beijing I School of Information and Communication Engineering,Beijing University of Posts and Telecommunicatio

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: 291-296

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）