OPTIMAL ASYNCHRONOUS MULTISENSOR CENTRALIZED FUSION ESTIMATE

被引：1
|
作者：
Qiu, Ai-Bing [1 ]
Wen, Cheng-Lin [2 ]
机构：
[1] Nanjing Univ Aeronaut & Astronaut, Coll Automat Engn, Nanjing 210016, Peoples R China
[2] Hangzhou Dianzi Univ, Inst Informat & Control, Hangzhou, Zhejiang 310018, Peoples R China
来源：
PROCEEDINGS OF 2009 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-6 | 2009年
关键词：
Asynchronous; data fusion; synchronization lifting; Kalman filter;
D O I：
10.1109/ICMLC.2009.5212782
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
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.
引用
收藏
页码：3396 / +
页数：2
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