Leong, Alex S. and Dey, Subhrakanti and Nair, Girish N. and Sharma, Priyank (2009) Outage minimization for state estimation using multiple sensors. IFAC Proceedings Volumes, 42 (20). pp. 216-221. ISSN 1474-6670

Preview

Download (233kB) | Preview

Abstract

This paper studies the outage minimization problem for state estimation of a scalar linear dynamical system using multiple sensors. The sensors amplify and forward their measurements to a remote fusion center over wireless fading channels. For stable systems, the resulting infinite horizon problem is a constrained Markov decision process (MDP) that can be solved using dynamic programming techniques. A suboptimal power allocation that is less computationally intensive is also proposed, and numerical results demonstrate very close performance to the power allocation obtained from the solution of the MDP. For unstable systems, a finite horizon formulation of the outage minization problem is also presented.

Item Type:	Article
Additional Information:	Cite as: Alex S. Leong, Subhrakanti Dey, Girish N. Nair, Priyank Sharma, Outage Minimization For State Estimation Using Multiple Sensors*, IFAC Proceedings Volumes, Volume 42, Issue 20, 2009, Pages 216-221, ISSN 1474-6670, ISBN 9783902661524, https://doi.org/10.3182/20090924-3-IT-4005.00037
Keywords:	Outage probability; sensor networks; state estimation;
Academic Unit:	Faculty of Science and Engineering > Electronic Engineering Faculty of Science and Engineering > Research Institutes > Hamilton Institute
Item ID:	14473
Identification Number:	https://doi.org/10.3182/20090924-3-IT-4005.00037
Depositing User:	Subhrakanti Dey
Date Deposited:	28 May 2021 14:08
Journal or Publication Title:	IFAC Proceedings Volumes
Publisher:	Elsevier
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

Repository Staff Only(login required)

Item control page

Downloads

Origin of downloads