OPTIMAL ASYNCHRONOUS MULTISENSOR CENTRALIZED FUSION ESTIMATE

摘要：

In this paper the problem of asynchronous multisensor fusion estimate is considered. A new optimal asynchronous centralized fusion algorithm based on left synchronization lifting is presented. Comparing with the existing sequential filtering algorithm, the proposed algorithm has an advantage in computation. Comparing with the asynchronous centralized fusion algorithm based on right synchronization lifting, it guarantees that the lifted system is causal. The equivalence of the algorithms based on right and left synchronization lifting is also proved to show the optimality of the proposed algorithm. An illustrative example is provided to demonstrate the performance of the proposed algorithm.

关键词： Asynchronous data fusion synchronization lifting Kalman filter

作者: AI-BING QIU CHENG-LIN WEN

作者单位: College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 21001 Institute of Information and Control, Hangzhou Dianzi University, Hangzhou 310018, China

会议类型: 国际会议

会议名称: 2009 International Conference on Machine Learning and Cybernetics(2009机器学习与控制论国际会议)

会议地点: 保定

会议语种:英文

页码: 3396-3401

在线出版日期: 2009-07-12（万方平台首次上网日期，不代表论文的发表时间）