Optimal update with out-of-sequence measurements

Keshu Zhang; X. Rong Li; Yunmin Zhu

doi:10.1109/TSP.2005.847830

Optimal update with out-of-sequence measurements

Keshu Zhang
, X. Rong Li
, Yunmin Zhu

University of New Orleans
Motorola
Sichuan University

科研成果: 期刊稿件 › 文章 › 同行评审

146 引用（Scopus）

摘要

This paper is concerned with optimal filtering in a distributed multiple sensor system with the so-called out-of-sequence measurements (OOSM). Based on best linear unbiased estimation (BLUE) fusion, we present two algorithms for updating with OOSM that are optimal for the information available at the time of update. Different minimum storages of information concerning the occurrence time of OOSMs are given for both algorithms. It is shown by analysis and simulation results that the two proposed algorithms are flexible and simple.

源语言	英语
页（从-至）	1992-2004
页数	13
期刊	IEEE Transactions on Signal Processing
卷	53
期	6
DOI	https://doi.org/10.1109/TSP.2005.847830
出版状态	已出版 - 6月 2005
已对外发布	是

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Optimal update with out-of-sequence measurements

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