Distributed covariance intersection fusion in clustered sensor networks with different sampling rates

Abstract

This paper is concerned with the fusion estimation problem in clustered sensor networks (CSN). A set of sensors are divided into several clusters and independently observe outputs of a plant with different sampling rates. During each estimating interval, each local estimator collects sampled information from sensors in its area and generates a local… (More)

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