Multiple-model multiple-hypothesis filter for tracking maneuvering targets

Hans Driessen; Yvo Boers

doi:10.1117/12.492777

26 November 2001 Multiple-model multiple-hypothesis filter for tracking maneuvering targets

Hans Driessen, Yvo Boers

Proceedings Volume 4473, Signal and Data Processing of Small Targets 2001; (2001) https://doi.org/10.1117/12.492777
Event: International Symposium on Optical Science and Technology, 2001, San Diego, CA, United States

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.

Citation Download Citation

Hans Driessen and Yvo Boers "Multiple-model multiple-hypothesis filter for tracking maneuvering targets", Proc. SPIE 4473, Signal and Data Processing of Small Targets 2001, (26 November 2001); https://doi.org/10.1117/12.492777

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