Kalman Filtering in Wireless Sensor Networks

Author

Ribeiro, Alejandro ; Schizas, Ioannis D. ; Roumeliotis, Stergios I. ; Giannakis, Georgios B.

Author_Institution

Dept. of Electr. & Syst. Eng., Univ. of Pennsylvania, Philadelphia, PA, USA

Volume

30

Issue

2

fYear

2010

fDate

4/1/2010 12:00:00 AM

Firstpage

66

Lastpage

86

Abstract

Challenges associated with the scarcity of bandwidth and power in wireless communications have to be addressed. For the state-estimation problems discussed in the paper, observations about a common state are collected by physically distributed terminals. To perform state estimation, wireless sensor networks (WSNs) may share these observations with each other or communicate them to a fusion center for centralized processing. With K vector observations {y_k(n)}^K _k=1 available, the optimal mean squared error (MSE) estimation of the state x(n) for the linear model is accomplished by a Kalman filter.

Keywords

Kalman filters; mean square error methods; wireless sensor networks; Kalman filter; MSE; communication cost reduction; mean squared error; state-estimation problems; wireless sensor networks; Costs; Filtering; Kalman filters; Passive radar; Pollution measurement; Radar measurements; Signal to noise ratio; Temperature sensors; Vectors; Wireless sensor networks;

fLanguage

English

Journal_Title

Control Systems, IEEE

Publisher

ieee

ISSN

1066-033X

Type

jour

DOI

10.1109/MCS.2009.935569

Filename

5438273