Leong, Alex S. and Dey, Subhrakanti and Nair, Girish N. (2012) On Multi-Sensor Linear State Estimation Under High Rate Quantization. In: 2012 5th International Symposium on Communications, Control and Signal Processing. IEEE. ISBN 9781467302760

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Abstract

In this paper we consider state estimation of an unstable scalar 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 expression for the error covariance (or mean squared error) that relates the system parameters and bit rates used by the different sensors. Numerical results show close agreement with the true mean squared error for quantization at high rates. An optimal rate allocation problem amongst the different sensors is also considered.

Item Type:	Book Section
Additional Information:	Cite as: A. S. Leong, S. Dey and G. N. Nair, "On multi-sensor linear state estimation under high rate quantization," 2012 5th International Symposium on Communications, Control and Signal Processing, 2012, pp. 1-6, doi: 10.1109/ISCCSP.2012.6217816.
Keywords:	multisensor linear state estimation; high rate quantization; unstable scalar system; error covariance; mean squared error; optimal rate allocation problem;
Academic Unit:	Faculty of Science and Engineering > Electronic Engineering Faculty of Science and Engineering > Research Institutes > Hamilton Institute
Item ID:	14499
Depositing User:	Subhrakanti Dey
Date Deposited:	04 Jun 2021 13:54
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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