Distributed Multisensor Estimation Fusion with Out-of-Sequence Measurements

摘要：

In the multiple sensor/sub-processor system,distributed estimation fusion based on the two level optimization strategy (optimal sensor estimations and optimal processor center fusion) are used widely. Optimal distributed estimation fusion with out-of-sequence measurements (OOSM) at local sensors is presented in this paper,its performance is equivalent to that of the corresponding Kalman filtering using all sensor observations (which is called the centralized Kalman filtering fusion).

作者: Donghua Wang Yunmin Zhu Xiaojing Shen

作者单位: Department of Mathematics Sichuan University Chengdu,Sichuan,610064,China

会议类型: 国际会议

会议名称: The 2008 International Conference on Embedded Software and Systems Symposia(ICESS 2008)(2008国际嵌入式系统及嵌入式软件会议)

会议地点: 成都

会议语种:英文

页码: 390-395

在线出版日期: 2008-01-01（万方平台首次上网日期，不代表论文的发表时间）