A Fusion Algorithm of Multisensor System Based on Sequential Filtering in Distributed Network

摘要：

This paper develops a data fusion algorithm of multisensor system based on sequential filtering in distributed network. In actual multisensor dynamic system, in every timestep, observations obtained from local sensors are transformed to the center coordinate system. And then, they are transmitted to the center processor in turn. In the center processor, observations are used to update sequentially the previous global estimate with Kalman filters. Thus one can obtain a global estimate of the state at this step based on the global information. In this paper, the deductive process of the algorithm is presented. On the condition of the same accuracy , we compare the computational cost of new algorithm with that of the centralized data fusion algorithm to show the superiority of the former.Finally the simulation indicates the validity of the algorithm.

关键词： Data fusion Sequential filtering Kalman filter Multisensor system

作者: Xiaobin Xu Quanbo Ge Chenglin Wen

作者单位: Department of Electrical Automation Shanghai Shanghai Maritime University Shanghai 200135,China Department of Automation Hangzhou Dianzi University Hangzhou, Zhejiang Province,310018, China

会议类型: 国际会议

会议名称: 2007 IEEE International Conference on Automation and Lofistics

会议地点: 山东济南

会议语种:英文

在线出版日期: 2007-08-18（万方平台首次上网日期，不代表论文的发表时间）