Convergence and Accuracy Analysis for a New Distributed State Estimator

DAMIÁN MARELLI; XIMING SUN; TIANJU SUI; MINYUE FU

IEEE TRANSACTIONS ON AUTOMATIC CONTROL

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC

Año: 2020

0018-9286

This paper focuses on the distributed static estimation problem and a Belief Propagation (BP) based estimation algorithm is proposed. We provide a complete analysis for convergence and accuracy of it. More precisely, we offer conditions under which the proposed distributed estimator is guaranteed to converge and we give concrete characterizations of its accuracy. Our results not only give a new algorithm with good performance but also provide a useful analysis framework to learn the properties of a distributed algorithm. It yields better theoretical understanding of the static distributed state estimator and may generate more applications in the future.