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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: | 10.1109/ISCCSP.2010.5463460 |
| Depositing User: | Subhrakanti Dey |
| Date Deposited: | 31 May 2021 15:09 |
| Publisher: | IEEE |
| Refereed: | Yes |
| Related URLs: | |
| 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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