@inproceedings{9ddb0ff97271494c80b8896a37ff12c6,
title = "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.",
keywords = "Bayesian classifier, Class-conditioned bayesian multiple model filter, IMMRPF, IMMRPF-CCJTC, Joint tracking and classification (JTC)",
author = "Long Xu and Hong Jiang and Kun Zhan",
year = "2014",
doi = "10.4028/www.scientific.net/AMM.513-517.1713",
language = "英语",
isbn = "9783038350125",
series = "Applied Mechanics and Materials",
pages = "1713--1716",
booktitle = "Applied Science, Materials Science and Information Technologies in Industry",
note = "2014 International Conference on Advances in Materials Science and Information Technologies in Industry, AMSITI 2014 ; Conference date: 11-01-2014 Through 12-01-2014",
}