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Optimal search: a practical interpretation of information-driven sensor management

Summary: Optimal search: a practical interpretation of
information-driven sensor management
Fotios Katsilieris and Yvo Boers
Thales Nederland B.V.
Hengelo, the Netherlands
Email: {Fotios.Katsilieris, Yvo.Boers} @nl.thalesgroup.com
Abstract--We consider the problem of scheduling an agile
sensor for performing optimal search for a target.
A probability density function is created for representing our
knowledge about where the target might be and it is utilized
by the proposed sensor management criteria for finding optimal
search strategies.
The proposed criteria are: an information-driven criterion
based on the Kullback-Leibler divergence and a criterion with
practical meaning, i.e. performing the sensing action that will
yield the maximum probability of detecting the target.
It is shown that using the aforementioned criteria results in
the same sensing actions when searching for a target and this
result establishes a practical operational justification for using
information-driven sensor management for performing search.


Source: Al Hanbali, Ahmad - Department of Applied Mathematics, Universiteit Twente


Collections: Engineering