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Distributed state estimation based on quantized observations in a bandwidth constrained sensor network
conference contributionposted on 2017-12-06, 00:00 authored by Li ChaiLi Chai, B Hu, P Jiang
A distributed state estimation scheme based on quantized observations in wireless sensor network (WSN) is proposed. Unlike the SOI-KF approach, we address the state estimation problem in two steps: firstly, local sensors and the fusion center apply the decentralized estimation scheme (DES) to design the quantized message function and the fusion function; secondly, the fusion center constructs a linear filter to obtain the state estimation by minimizing an upper bound of the error power norm. The optimal filter is computed by the linear matrix inequality (LMI) solver. An example is presented to demonstrate the efficiency of our method.
Parent TitleProceedings. The 7th World Congress on Intelligent Control and Automation.
Number of Pages5
Place of PublicationPiscataway, NJ
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External Author AffiliationsHangzhou Dianzi University; Wuhan ke ji da xue;