Distributed information filtering using consensus filters

Authors:
David W. Casbeer;Randy Beard
Affiliations:
Dept. of Electrical and Computer Engineering, Brigham Young University, Provo, UT;Dept. of Electrical and Computer Engineering, Brigham Young University, Provo, UT
Venue:
ACC'09 Proceedings of the 2009 conference on American Control Conference
Year:
2009

Citing 3
Cited 1

Decentralized Estimation and Control for Multisensor Systems

Decentralized Estimation and Control for Multisensor Systems
Fastest Mixing Markov Chain on a Graph

SIAM Review
A scheme for robust distributed sensor fusion based on average consensus

IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks

Consensus based distributed unscented information filtering for air mobile sensor networks

CAR'10 Proceedings of the 2nd international Asia conference on Informatics in control, automation and robotics - Volume 2

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper we present a new information consensus filter for distributed dynamic-state estimation. Estimation is handled by the traditional information filter, while communication of measurements is handled by a consensus filter. First and second-order statistics of local estimates are discussed. It is shown that local information consensus filter estimates are unbiased, and the actual variance of the local estimation errors is comparable to a centralized estimate. However, local agents believe their local estimates are less accurate.