Leong, Alex S. and Dey, Subhrakanti (2010) On diversity schemes in decentralized estimation. In: 2010 IEEE 11th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC). IEEE. ISBN 9781424469901

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Abstract

This paper is concerned with the decentralized estimation of a Gaussian source using multiple sensors. We consider a diversity scheme where only the sensor with the best channel sends their measurements to a fusion center, using the analog amplify and forwarding technique. A distributed version of the diversity scheme where sensors decide what to transmit based only on their local information is also considered. We derive asymptotic expressions for the expected distortion of these schemes as the number of sensors becomes large. We also study the optimal power allocation problem for minimizing the expected distortion subject to average power constraints.

Item Type:	Book Section
Additional Information:	Cite as: A. S. Leong and S. Dey, "On diversity schemes in decentralized estimation," 2010 IEEE 11th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2010, pp. 1-5, doi: 10.1109/SPAWC.2010.5671086.
Keywords:	diversity; schemes; decentralized; estimation;
Academic Unit:	Faculty of Science and Engineering > Electronic Engineering Faculty of Science and Engineering > Research Institutes > Hamilton Institute
Item ID:	14478
Identification Number:	https://doi.org/10.1109/SPAWC.2010.5671086
Depositing User:	Subhrakanti Dey
Date Deposited:	31 May 2021 15:02
Publisher:	IEEE
Refereed:	Yes
URI:	Publisher
Use Licence:	This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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