Utilization of OIM for Measurement Selection in Multistatic Target Tracking
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Date
2014-04
Authors
Soysal, Gokhan
Efe, Murat
Streit, Roy L.
ORCID
Advisor
Referee
Mark
Journal Title
Journal ISSN
Volume Title
Publisher
Společnost pro radioelektronické inženýrství
Abstract
The sensor management problem can be expressed as obtaining the state estimation with desired accuracy by utilizing the resources effectively. In the literature, there are two principal approaches to this problem, namely task-driven and information driven sensor management. Performance metrics for both task-driven and information driven sensor management frameworks suffer from the heavy computational burden due to the evaluation of expectations or are available only in simulation. In this paper, the Observed Information Matrix (OIM), which is widely used in statistical practice as a surrogate for the Fisher Information Matrix (FIM) in difficult problems, has been proposed as a metric that can be used in sensor management. Recursive computation of OIM has been derived for the cases with linear and nonlinear system dynamics corrupted with additive Gaussian noise. The usefulness of OIM in sensor selection in multistatic target tracking has been demonstrated via simulations.
Description
Citation
Radioengineering. 2014, vol. 23, č. 1, s. 111-120. ISSN 1210-2512
http://www.radioeng.cz/fulltexts/2014/14_01_0111_0120.pdf
http://www.radioeng.cz/fulltexts/2014/14_01_0111_0120.pdf
Document type
Peer-reviewed
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Published version
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Language of document
en