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Proceedings Paper

Multiple-model multiple-hypothesis filter for tracking maneuvering targets
Author(s): Hans Driessen; Yvo Boers
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Paper Abstract

In this paper a new method is presented to deal with multiple model filtering. The method is the so called Multiple Model Multiple Hypothesis Filter (MMMH filter). For each hypothesis a Kalman filter is running. This hypothesis represents a specific model mode sequence history. The proposed method has a high level of genericity and is highly flexible. The main feature is that the number of hypotheses that are maintained varies with the "difficulty" of a scenario. It is shown that the MMMH performs better than the widely used Interacting Multiple Model (IMM) filter.

Paper Details

Date Published: 26 November 2001
PDF: 10 pages
Proc. SPIE 4473, Signal and Data Processing of Small Targets 2001, (26 November 2001); doi: 10.1117/12.492777
Show Author Affiliations
Hans Driessen, Thales Nederland B.V. (Netherlands)
Yvo Boers, Thales Nederland B.V. (Netherlands)


Published in SPIE Proceedings Vol. 4473:
Signal and Data Processing of Small Targets 2001
Oliver E. Drummond, Editor(s)

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