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Proceedings Paper

Multiple-model detection of target maneuvers
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Paper Abstract

This paper proposes a multiple-model (MM) hypothesis testing approach for detection of unknown target maneuvers that may have several possible prior distributions. An MMmaneuver detector based on sequential hypothesis testing is developed. Simulation results that compare the performance of the proposed MM detector to that of traditional maneuver detectors are presented. They demonstrate that the new sequential MM detector outperforms traditional multiple hypothesis testing based detectors when the prior acceleration distributions are unknown.

Paper Details

Date Published: 4 October 2005
PDF: 9 pages
Proc. SPIE 5913, Signal and Data Processing of Small Targets 2005, 59130A (4 October 2005); doi: 10.1117/12.621779
Show Author Affiliations
Jifeng Ru, Univ. of New Orleans (United States)
X. Rong Li, Univ. of New Orleans (United States)
Vesselin P. Jilkov, Univ. of New Orleans (United States)

Published in SPIE Proceedings Vol. 5913:
Signal and Data Processing of Small Targets 2005
Oliver E. Drummond, Editor(s)

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