On Kalman filtering over fading wireless channels with controlled transmission powers

被引：131

作者：

Quevedo, Daniel E. ^{[1
]}

Ahlen, Anders ^{[2
]}

Leong, Alex S. ^{[3
]}

Dey, Subhrakanti ^{[3
]}

机构：

[1] Univ Newcastle, Sch Elect Engn & Comp Sci, Callaghan, NSW 2308, Australia

[2] Uppsala Univ, Dept Engn Sci Signals & Syst, SE-75121 Uppsala, Sweden

[3] Univ Melbourne, Dept Elect & Elect Engn, Parkville, Vic 3052, Australia

来源：

AUTOMATICA | 2012年 / 48卷 / 07期

基金：

澳大利亚研究理事会;

关键词：

State estimation; Fading channels; Packet dropouts; Stochastic stability; Power control; NETWORKED CONTROL-SYSTEMS; SENSOR NETWORKS; STATE ESTIMATION; INTERMITTENT OBSERVATIONS; STABILITY; LOSSES; DROP;

D O I：

10.1016/j.automatica.2012.03.025

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

We study stochastic stability of centralized Kalman filtering for linear time-varying systems equipped with wireless sensors. Transmission is over fading channels where variable channel gains are counteracted by power control to alleviate the effects of packet drops. We establish sufficient conditions for the expected value of the Kalman filter covariance matrix to be exponentially bounded in norm. The conditions obtained are then used to formulate stabilizing power control policies which minimize the total sensor power budget. In deriving the optimal power control laws, both statistical channel information and full channel information are considered. The effect of system instability on the power budget is also investigated for both these cases. (C) 2012 Elsevier Ltd. All rights reserved.

引用

页码：1306 / 1316

页数：11

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