Distributed parameter estimation with selective cooperation

Author

Werner, Stefan ; Huang, Yih-Fang ; De Campos, Marcello L R ; Koivunen, Visa

Author_Institution

Dept. of Signal Process. & Acoust., Helsinki Univ. of Technol., Espoo

fYear

2009

fDate

19-24 April 2009

Firstpage

2849

Lastpage

2852

Abstract

This paper proposes selective update and cooperation strategies for parameter estimation in distributed adaptive sensor networks. A set-membership filtering approach is employed that results in reduced complexity for updating parameter estimates at each network node, a significant reduction in information exchange between cooperating nodes, and an optimal strategy to obtain consensus estimates. The proposed strategies and the estimation algorithm offer a new way to explore cooperation in adaptive distributed sensor networks.

Keywords

adaptive signal processing; distributed sensors; filtering theory; least mean squares methods; parameter estimation; cooperation strategies; distributed adaptive sensor networks; distributed parameter estimation; information exchange; selective cooperation; set-membership filtering approach; Adaptive filters; Adaptive systems; Bandwidth; Batteries; Filtering; Intelligent sensors; Parameter estimation; Robustness; Sensor phenomena and characterization; Temperature sensors; Distributed estimation; adaptive signal processing; sensor networks; set-membership filtering;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on

Conference_Location

Taipei

ISSN

1520-6149

Print_ISBN

978-1-4244-2353-8

Electronic_ISBN

1520-6149

Type

conf

DOI

10.1109/ICASSP.2009.4960217

Filename

4960217