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Proceedings Paper

Multirate interacting multiple model filtering for target tracking
Author(s): Lang Hong; Gwo-Jieh Wang; Michael W. Logan; Thomas P. Donohue
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Paper Abstract

A Multirate Interacting Multiple Model tracking algorithm is developed in this paper. The algorithm is based on a reformulation of the interacting multiple model (IMM) filter under the assumption that each model operates at an update rate proportional to the model's assumed dynamics. A wavelet transform is used to generate equivalent multirate measurements, which exhibit the additional property of lower equivalent measurement noise for low-rate data. Using this filtering approach performance virtually equivalent to a full IMM filter can be realized but with only a moderated increase in computational complexity over a single Kalman filter.

Paper Details

Date Published: 1 September 1995
PDF: 12 pages
Proc. SPIE 2561, Signal and Data Processing of Small Targets 1995, (1 September 1995); doi: 10.1117/12.217704
Show Author Affiliations
Lang Hong, Wright State Univ. (United States)
Gwo-Jieh Wang, Wright State Univ. (United States)
Michael W. Logan, Air Force Wright Lab. (United States)
Thomas P. Donohue, Air Force Wright Lab. (United States)

Published in SPIE Proceedings Vol. 2561:
Signal and Data Processing of Small Targets 1995
Oliver E. Drummond, Editor(s)

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