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Leong, Alex S., Dey, Subhrakanti and Nair, Girish N. (2012) Multi-sensor linear state estimation under high rate quantization. IFAC Proceedings Volumes, 45 (26). pp. 115-120. ISSN 1474-6670
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Abstract
In this paper we consider state estimation of a discrete time linear system using multiple sensors, where the sensors quantize their individual innovations, which are then combined at the fusion center to form a global state estimate. We obtain an asymptotic approximation for the error covariance matrix that relates the system parameters and quantization levels used by the different sensors. Numerical results show close agreement with the true error covariance for quantization at high rates. An optimal rate allocation problem amongst the different sensors is also considered.
| Item Type: | Article |
|---|---|
| Additional Information: | Cite as: Alex S. Leong, Subhrakanti Dey, Girish N. Nair, Multi-Sensor Linear State Estimation Under High Rate Quantization, IFAC Proceedings Volumes, Volume 45, Issue 26, 2012, Pages 115-120, ISSN 1474-6670, ISBN 9783902823229, https://doi.org/10.3182/20120914-2-US-4030.00020. |
| Keywords: | Multi-Sensor Linear; State Estimation; High Rate Quantization; |
| Academic Unit: | Faculty of Science and Engineering > Electronic Engineering Faculty of Science and Engineering > Research Institutes > Hamilton Institute |
| Item ID: | 14492 |
| Identification Number: | 10.3182/20120914-2-US-4030.00020 |
| Depositing User: | Subhrakanti Dey |
| Date Deposited: | 01 Jun 2021 16:20 |
| Journal or Publication Title: | IFAC Proceedings Volumes |
| Publisher: | Elsevier |
| Refereed: | Yes |
| Related URLs: | |
| URI: | https://mu.eprints-hosting.org/id/eprint/14492 |
| 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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