Globally optimal real-time distributed fusion of multi-channel observation systems

被引：5

作者：

Cui, Peng ^{[1
]}

Zhang, Huanshui ^{[1
]}

Wang, Hongxia ^{[2
]}

Feng, Jun-e ^{[3
]}

机构：

[1] Shandong Univ, Sch Control Sci & Engn, Jinan 250061, Peoples R China

[2] Zhejiang Univ Technol, Dept Automat, Hangzhou 310023, Zhejiang, Peoples R China

[3] Shandong Univ, Sch Math, Jinan 250100, Peoples R China

来源：

IET CONTROL THEORY AND APPLICATIONS | 2014年 / 8卷 / 06期

基金：

中国国家自然科学基金;

关键词：

KALMAN; FILTER;

D O I：

10.1049/iet-cta.2013.0046

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

A globally optimal real-time distributed fusion algorithm is discussed for multi-channel observation systems. The performance of the fusion is equal to that of centralised Kalman filtering. Different from the existing one based on information filters, the algorithm uses the projection theorem in Hilbert space according to First-Come-First-Serve principle. Local estimates are instantly fused with arrival of local information at fusion centre. Meantime, a real-time strategy is presented to balance the performance and the speed of fusion. Therefore the algorithm is flexible and has the practical benefits.

引用

页码：384 / 388

页数：5

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