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Proceedings Paper

Sequential approach to multisensor resource management using particle filters
Author(s): Dawn E. Penny; Mark Williams
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Paper Abstract

Elements from data fusion, optimisation and particle filtering are brought together to form the Multi-Sensor Fusion Management (MSFM) algorithm. The algorithm provides a framework for combining the information from multiple sensors and producing good solutions to the problem of how best to deploy/use these and/or other sensors to optimise some criteria in the future. A problem from Anti-Submarine Warfare (ASW) is taken as an example of the potential use of the algorithm. The algorithm is shown to make efficient use of a limited supply of passive sonobuoys in order to locate a submarine to the required accuracy. The results show that in the simulation the traditional strategies for sonobuoy deployment required approximately four times as many sonobuoys as the MSFM algorithm to achieve the required localisation.

Paper Details

Date Published: 13 July 2000
PDF: 12 pages
Proc. SPIE 4048, Signal and Data Processing of Small Targets 2000, (13 July 2000); doi: 10.1117/12.392017
Show Author Affiliations
Dawn E. Penny, Defence Evaluation and Research Agency Malvern (United Kingdom)
Mark Williams, Defence Evaluation and Research Agency Malvern (United Kingdom)


Published in SPIE Proceedings Vol. 4048:
Signal and Data Processing of Small Targets 2000
Oliver E. Drummond, Editor(s)

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