Leong, Alex S. and Dey, Subhrakanti (2010) Multi-sensor diversity in decentralized estimation. In: 2010 4th International Symposium on Communications, Control and Signal Processing (ISCCSP). IEEE. ISBN 9781424462858

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Abstract

This paper derives asymptotic expressions for the expected distortion in the decentralized estimation of a Gaussian source using multiple sensors, as the number of sensors becomes large. 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 fowarding technique. For comparison, asymptotic expressions for a coherent multi-access scheme and an orthogonal access scheme are also derived.

Item Type:	Book Section
Additional Information:	Cite as: A. S. Leong and S. Dey, "Multi-sensor diversity in decentralized estimation," 2010 4th International Symposium on Communications, Control and Signal Processing (ISCCSP), 2010, pp. 1-5, doi: 10.1109/ISCCSP.2010.5463460.
Keywords:	multi-senor; diversity; decentralized; estimation;
Academic Unit:	Faculty of Science and Engineering > Electronic Engineering Faculty of Science and Engineering > Research Institutes > Hamilton Institute
Item ID:	14479
Identification Number:	https://doi.org/10.1109/ISCCSP.2010.5463460
Depositing User:	Subhrakanti Dey
Date Deposited:	31 May 2021 15:09
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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