Schedule Communication for Decentralized State Estimation

Author

Chao Yang ; Junfeng Wu ; Wei Zhang ; Ling Shi

Author_Institution

Dept. of Electron. & Comput. Eng., Hong Kong Univ. of Sci. & Technol., Kowloon, China

Volume

61

Issue

10

fYear

2013

fDate

15-May-13

Firstpage

2525

Lastpage

2535

Abstract

This paper considers decentralized state estimation subject to communication constraints. A group of agents measure the state of a process and obtain their state estimates by exchanging data with each other. Due to the communication constraint, only a few communication channels are available. The main objective of this paper is to allocate these channels among the agents so as to minimize their average estimation errors. We provide optimal allocation strategies for agents having the homogeneous and heterogeneous sensing capabilities, respectively.

Keywords

Kalman filters; channel allocation; state estimation; communication channels; communication constraints; decentralized Kalman filtering; decentralized state estimation; estimation errors; heterogeneous sensing capability; homogeneous sensing capability; optimal allocation strategies; schedule communication; Channel allocation; Estimation error; Optimal scheduling; Resource management; Temperature sensors; Tin; Channel allocation; decentralized Kalman filtering; networked state estimation;

fLanguage

English

Journal_Title

Signal Processing, IEEE Transactions on

Publisher

ieee

ISSN

1053-587X

Type

jour

DOI

10.1109/TSP.2013.2246157

Filename

6459047