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Proceedings Paper

On the performance and consistency of a noninteractive multiple-model filter
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Paper Abstract

Tracking maneuvering target using multiple models is an attractive approach that is an alternative to a design that needs logic for both maneuver detection and filter re-initialization. Common current practice in multiple model tracking uses a switching Markov model. Recently the authors developed a multiple model approach to tracking maneuvering targets, but without using a switching Markov model. The models used work independently, while the process noise of each is adjusted online based on a relative likelihood function. The performance and consistency of the newly developed filter are compared to an IMM tracker.

Paper Details

Date Published: 27 July 2004
PDF: 12 pages
Proc. SPIE 5430, Acquisition, Tracking, and Pointing XVIII, (27 July 2004); doi: 10.1117/12.543142
Show Author Affiliations
Ali T. Alouani, Tennessee Technological Univ. (United States)
John E. Gray, Naval Surface Warfare Ctr. (United States)

Published in SPIE Proceedings Vol. 5430:
Acquisition, Tracking, and Pointing XVIII
Michael K. Masten; Larry A. Stockum, Editor(s)

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