IMMRPF Class-Conditioned Joint Tracking and Classification

Long Xu; Hong Jiang; Kun Zhan

doi:10.4028/www.scientific.net/AMM.513-517.1713

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 513-517IMMRPF Class-Conditioned Joint Tracking and...

IMMRPF Class-Conditioned Joint Tracking and Classification

Abstract:

An IMMRPF class-conditioned joint tracking and classification (IMMRPF-CCJTC) algorithm is proposed in this paper. This IMMRPF-CCJTC algorithm is integrated by Bayesian classifier and class-conditioned Bayesian multiple model filter that is implemented by IMMRPF. It relies on the low-resolution radar and electronic support equipment (ESM) as its kinematic sensor and attribute sensor, respectively, and has good modular structure and less computational load. Simulations verify the effectiveness of the IMMRPF-CCJTC algorithm.

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Periodical:

Applied Mechanics and Materials (Volumes 513-517)

Pages:

1713-1716

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.513-517.1713

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Online since:

February 2014

Authors:

Long Xu*, Hong Jiang, Kun Zhan

Keywords:

Bayesian Classifier, Class-Conditioned Bayesian Multiple Model Filter, IMMRPF, IMMRPF-CCJTC, Joint Tracking and Classification (JTC)

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* - Corresponding Author

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