NDLI: Linear Distributed Estimation

Content Provider	IEEE Xplore Digital Library
Author	Alouani, A. T.
Copyright Year	1987
Description	Author affiliation: Electrical and Computer Engineering Department, University of Tennessee, Knoxville, Tennessee 37996-2100 (Alouani, A. T.)
Abstract	This paper considers the problem of implementation of linear centralized estimators in a distributed fashion. In the distributed estimator structure there is a coordinator which contains the model fo the observed process, and an arbitrary number of different observers taking observations of the state process. The measurements of each observer are processed locally. One way communication links exist between each local processor and the coordinator. The results of the local estimation algorithms are communicated to the coordinator. The coordinator reconstructs the statistics of the state process based on all the available measurements, using only the communicated local statistics. The models used to produce the local estimates may be different from the process model and from each other. By constraining the choice of the local models, the derived fusion algorithm reconstructs exactly the characteristics of a centralized estimator. This paper uses a different approach to generalize much of the previous work in distributed estimation with different local models to an arbitrary number of local processing facilities. A simple example of implementation of a centralized estimator in a distributd fashion is presented.
Starting Page	412
Ending Page	417
File Size	326360
Page Count	6
File Format	PDF
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1987-06-10
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	American Automatic Control Council(AACC)
Subject Keyword	State estimation Observers Statistics Gaussian processes Stochastic processes Difference equations Time measurement Vectors Distributed computing Statistical distributions
Content Type	Text
Resource Type	Article

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