Kalman Fixed-Point Smoothing for Wireless Sensor Systems with Multiplicative Noises

被引：0

作者：

Lu, Xiao ^{[1
,2
]}

Wang, Haixia ^{[1
]}

机构：

[1] Shandong Univ Sci & Technol, Key Lab Robot & Intelligent Technol Shandong Prov, Qingdao 266590, Peoples R China

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

来源：

PROCEEDINGS OF THE 31ST CHINESE CONTROL CONFERENCE | 2012年

基金：

中国博士后科学基金;

关键词：

Wireless network systems; Multiplicative noise; Fixed-point; Kalman smoothing; Packet loss;

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：

The paper focuses on Kalman fixed-point smoothing problem for wireless sensor networks (WSN), where both the state equation and the observation equation are disturbed by multiplicative noises. In addition, there exists packet loss in the observation of the system. The proposed Kalman fixed-point smoother is compared with the other two kinds of smoother, i. e., Kalman fixed-interval smoother and Kalman fixed-lag smoother. The solution to Kalman fixed-point smoother is given by solving Riccati equation and Lyapunov equation based on the projection theorem and innovation analysis. The comparison is given to show the difference between the Kalman fixed-point smoother is compared with the other two kinds of smoother.

引用

页码：6578 / 6581

页数：4

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