A measurements fusion filter for the multi-sensor system with correlated noises

被引：0

作者：

Li Shengwei ^{[1
]}

Feng Xiaoliang ^{[2
]}

Lu Yazhou ^{[3
]}

机构：

[1] Henan Univ, Sch Comp & Informat Engn, Kaifeng, Henan, Peoples R China

[2] Hohai Univ, Coll Comp & Informat Engn, Nanjing, Jiangsu, Peoples R China

[3] Henan Univ, Dept Math, Kaifeng, Henan, Peoples R China

来源：

PROCEEDINGS OF THE 10TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA 2012) | 2012年

关键词：

measurement fusion filtering; the correlation of the system noise; multi-sensor system; weighted least-square theory;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Considering the sensor's working environmental impact, the correlation of the system noise must be considered when fusing the measurements. The measurement fusion filtering method of a linear system with the correlation of measurement noises and the fusion time input noise and the correlation of measurement noises is researched in this paper. A centralized measurement fusion filtering method is present firstly, and then, a novel fusion measurement with low dimension is given based on the weighted least-square estimation theory. Utilizing a derived new measurement equation, a novel weighted measurement fusion filtering method is proposed in this paper. The final simulation illustrates the equivalent relation of the proposed measurement fusion filtering method and the optimal centralized measurement fusion method.

引用

页码：4458 / 4462

页数：5

共 8 条

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