Centralized Fusion White Noise Estimator for Multi-sensor Systems with Missing Measurements

被引：0
|
作者：
Wang Huiying [1 ]
机构：
[1] NE Agr Univ, Sch Engn, Dept Comp, Harbin, Heilongjiang, Peoples R China
来源：
KNOWLEDGE DISCOVERY AND DATA MINING | 2012年 / 135卷
关键词：
Centralized fusion; white noise estimator; missing measurement; multi-sensor system; innovation analysis method;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper is concerned with the information fusion estimation problem about the white noise. White noise estimator has an important application in oil seismic exploration. The centralized fusion white noise estimator in least mean square sense is presented for multi-sensor discrete-time stochastic linear systems with missing measurements based on the innovation analysis method, where different sensors have different missing measurement rates. Compared to local estimators, the proposed centralized fusion estimator has better estimation accuracy. An example shows the effectiveness.
引用
收藏
页码：785 / 791
页数：7
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