NDLI: Networked state estimation of MIMO Systems

Content Provider	IEEE Xplore Digital Library
Author	Baoyue Rong Ling Shi Li Qiu
Copyright Year	2012
Description	Author affiliation: Department of Electronic and Computer Engineering, Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong (Baoyue Rong; Ling Shi; Li Qiu)
Abstract	In this paper, the problem of state estimation over multiple parallel communication channels with multiplicative noise is investigated. The main novelty of this work lies in the introduction of the channel/estimator co-design framework which provides the estimator designer an additional freedom to allocate the channel capacities among different output channels. Under this co-design framework, we first study the state observation problem by reaching a conclusion that the minimum total channel capacity required for the output channels such that the estimation error remains bounded is given in terms of the topological entropy of the plant. We then look into the case of the optimal state estimation over channels with multiplicative noise. By a sequential design under the channel/estimator co-design framework, we show that the estimation error covariance of the optimal estimator is bounded under channel resource allocation if the total channel capacity is greater than the topological entropy.
Starting Page	424
Ending Page	429
File Size	294583
Page Count	6
File Format	PDF
ISBN	9781467318716
e-ISBN	9781467318723
e-ISBN	9781467318709
DOI	10.1109/ICARCV.2012.6485196
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-12-05
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Channel estimation State estimation Resource management Channel capacity Noise Entropy Channel resource allocation Networked state estimation Packet drops Topological entropy Channel/estimator co-design
Content Type	Text
Resource Type	Article

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