Integrated tracking and classification: an application of hybrid state estimation

Yvo Boers; Hans Driessen

doi:10.1117/12.492776

26 November 2001 Integrated tracking and classification: an application of hybrid state estimation

Yvo Boers, Hans Driessen

Proceedings Volume 4473, Signal and Data Processing of Small Targets 2001; (2001) https://doi.org/10.1117/12.492776
Event: International Symposium on Optical Science and Technology, 2001, San Diego, CA, United States

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.

Citation Download Citation

Yvo Boers and Hans Driessen "Integrated tracking and classification: an application of hybrid state estimation", Proc. SPIE 4473, Signal and Data Processing of Small Targets 2001, (26 November 2001); https://doi.org/10.1117/12.492776

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