Delande, Emmanuel D., Houssineau, Jeremie and Clark, Daniel E. (2014) Performance metric in closed-loop sensor management for stochastic populations. In: 2014 Sensor Signal Processing for Defence (SSPD), Edinburgh, UK, 8-9 Sep 2014 pp. 1-5. ISBN 9781479952946. doi:10.1109/SSPD.2014.6943322

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Abstract

Methods for sensor control are crucial for modern surveillance and sensing systems to enable efficient allocation and prioritisation of resources. The framework of partially observed Markov decision processes enables decisions to be made based on data received by the sensors within an information-theoretic context. This work addresses the problem of closed-loop sensor management in a multi-target surveillance context where each target is assumed to move independently of other targets. Analytic expressions of the information gain are obtained, for a class of exact multi-target tracking filters are obtained and based on the Rényi divergence. The proposed method is sufficiently general to address a broad range of sensor management problems through the application-specific reward function defined by the operator.

Item Type:	Conference Item (Paper)
Divisions:	Faculty of Science > Statistics
Publisher:	IEEE
ISBN:	9781479952946
Book Title:	2014 Sensor Signal Processing for Defence (SSPD)
Official Date:	2014
Dates:	Date Event 2014 Published
Page Range:	pp. 1-5
DOI:	10.1109/SSPD.2014.6943322
Status:	Peer Reviewed
Publication Status:	Published
Access rights to Published version:	Restricted or Subscription Access
Conference Paper Type:	Paper
Title of Event:	2014 Sensor Signal Processing for Defence (SSPD)
Type of Event:	Conference
Location of Event:	Edinburgh, UK
Date(s) of Event:	8-9 Sep 2014

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