Convergence and Accuracy Analysis for a Distributed Static State Estimator Based on Gaussian Belief Propagation

Title: Convergence and Accuracy Analysis for a Distributed Static State Estimator Based on Gaussian Belief Propagation
Creator: Marelli, Damien; Sui, Tianju; Fu, Minyue; Sun, Ximing
Relation: IEEE Transactions on Automatic Control Vol. 66, Issue 10, p. 4785-4791
Publisher Link: http://dx.doi.org/10.1109/TAC.2020.3037454
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Resource Type: journal article
Date: 2021
Description: This article focuses on the distributed static estimation problem. A belief propagation (BP) based estimation algorithm is studied for its convergence and accuracy. More precisely, we give conditions under which the BP-based distributed estimator is guaranteed to converge and we give concrete characterizations for its accuracy. Our results reveal new insights and properties of this distributed algorithm, leading to better theoretical understanding of static distributed state estimation and new applications of the algorithm.
Subject: accuracy analysis; belief propagation (bp); convergence analysis; distributed state estimation
Identifier: http://hdl.handle.net/1959.13/1474647
Identifier: uon:49332
Identifier: ISSN:0018-9286
Language: eng
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