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Proceedings Paper

Single-model multiple-process noise soft-switching filter
Author(s): Ali T. Alouani; Theodore R. Rice
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Paper Abstract

This paper presents a new tracking filter capable of soft switching between two kinematic target models without requiring any a prior knowledge of the target state's transition probability matrix. The target models used are both constant velocity models, one with a low state process noise and one with a high state process noise. Simulations are performed to show the soft switching capability of the new filter as well as its performance. The newly derived filter significantly outperforms a well-known variable dimension filter. The result of this paper constitute a first step toward designing a new class of filters that are capable of soft switching between different target kinematic models without requiring a priori knowledge of the target state's transition likelihoods.

Paper Details

Date Published: 12 March 1999
PDF: 19 pages
Proc. SPIE 3719, Sensor Fusion: Architectures, Algorithms, and Applications III, (12 March 1999); doi: 10.1117/12.341348
Show Author Affiliations
Ali T. Alouani, Tennessee Technological Univ. (United States)
Theodore R. Rice, Naval Surface Warfare Ctr. (United States)


Published in SPIE Proceedings Vol. 3719:
Sensor Fusion: Architectures, Algorithms, and Applications III
Belur V. Dasarathy, Editor(s)

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