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Proceedings Paper

Integrated tracking and classification: an application of hybrid state estimation
Author(s): Yvo Boers; Hans Driessen
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Paper Abstract

In this paper we present a framework in which the general hybrid filtering or state estimation problem can be formulated. The problem of joint tracking and classification can be formulated in this framework as well as the problem of multiple model filtering with additional mode observations. In this formulation the state vector is decomposed into a continuous (kinematic) component and a discrete (mode and/or class) component. We also suppose that there are two types of measurements. Measurements that are related tot eh continuous part of the state (e.g. bearing and range measurements in a radar application) and measurements that are related to the discrete part of the state (e.g. radar cross section measurements). We will derive an optimal filter for this problem and will show how this filter can be implemented numerically.

Paper Details

Date Published: 26 November 2001
PDF: 12 pages
Proc. SPIE 4473, Signal and Data Processing of Small Targets 2001, (26 November 2001); doi: 10.1117/12.492776
Show Author Affiliations
Yvo Boers, Thales Nederland B.V. (Netherlands)
Hans Driessen, 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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