Optimal distributed estimation in wireless sensor networks with spatially correlated noise sources

Author

Sun, Xusheng ; Coyle, Edward J.

Author_Institution

Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA

fYear

2012

fDate

1-4 April 2012

Firstpage

2037

Lastpage

2042

Abstract

A sensor network´s motes observe the environment, make estimates based on observations with spatially correlated noise sources, and then send/relay these estimates to a Cluster-Head (CH). A novel scheme based on dithered quantization and channel compensation is used to ensure that each mote´s local estimate received by the CH is unbiased. Based on an upper bound of the noise covariance matrix, the CH fuses these unbiased local estimates into a global one using a Best Linear Unbiased Estimator (BLUE). We evaluate the mean square error(MSE) of the final estimate by both analysis and simulation.

Keywords

covariance matrices; mean square error methods; wireless sensor networks; MSE; best linear unbiased estimator; channel compensation; cluster-head; dithered quantization; mean square error; noise covariance matrix; optimal distributed estimation; spatially correlated noise sources; wireless sensor networks; Channel estimation; Correlation; Covariance matrix; Estimation; Noise; Noise measurement; Quantization; Distributed estimation; best linear unbiased estimator (BLUE); channel compensation; dithered quantization; spatial correlation;

fLanguage

English

Publisher

ieee

Conference_Titel

Wireless Communications and Networking Conference (WCNC), 2012 IEEE

Conference_Location

Shanghai

ISSN

1525-3511

Print_ISBN

978-1-4673-0436-8

Type

conf

DOI

10.1109/WCNC.2012.6214125

Filename

6214125