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Leong, Alex S., Dey, Subhrakanti and Evans, Jamie S. (2008) Power efficient state estimation using multiple sensors. In: 2008 International Symposium on Information Theory and Its Applications. IEEE. ISBN 9781424420681
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Abstract
This paper considers state estimation of scalar linear systems using analog amplify and forwarding with multiple sensors, under a multiple access communication scheme. Optimal state estimation can be achieved using a Kalman filter. We show that in many situations, the error covariance decays at a rate of 1/M when the number of sensors M is large. Optimal allocation of transmission powers subject to constraints on the error covariance or sum power is also considered.
| Item Type: | Book Section |
|---|---|
| Additional Information: | Cite as: A. S. Leong, S. Dey and J. S. Evans, "Power efficient state estimation using multiple sensors," 2008 International Symposium on Information Theory and Its Applications, 2008, pp. 1-6, doi: 10.1109/ISITA.2008.4895539. |
| Keywords: | Power; efficient; state; estimation; multiple sensors; |
| Academic Unit: | Faculty of Science and Engineering > Research Institutes > Hamilton Institute |
| Item ID: | 14471 |
| Identification Number: | 10.1109/ISITA.2008.4895539 |
| Depositing User: | Subhrakanti Dey |
| Date Deposited: | 28 May 2021 13:56 |
| Publisher: | IEEE |
| Refereed: | Yes |
| Related URLs: | |
| URI: | https://mural.maynoothuniversity.ie/id/eprint/14471 |
| 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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