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Multiple-Target Tracking with Competitive Hopfield Neural Network Based Data Association

Data association which obtains relationship between radar measurements and existing tracks plays one important role in radar multiple-target tracking (MTT) systems. A new approach to data association based on the competitive Hopfield neural network (CHNN) is investigated, where the matching between...

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Published in:	IEEE transactions on aerospace and electronic systems 2007-07, Vol.43 (3), p.1180-1188
Main Authors:	Chung, Yi-Nung, Chou, Pao-Hua, Yang, Maw-Rong
Format:	Article
Language:	English
Subjects:	Aircraft components Computer simulation Cost function Electronic systems Hopfield neural networks Learning Neural networks Neurons Partitioning algorithms Radar measurement Radar measurements Radar tracking Surveillance Target tracking Tracking
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creator	Chung, Yi-Nung Chou, Pao-Hua Yang, Maw-Rong
description	Data association which obtains relationship between radar measurements and existing tracks plays one important role in radar multiple-target tracking (MTT) systems. A new approach to data association based on the competitive Hopfield neural network (CHNN) is investigated, where the matching between radar measurements and existing target tracks is used as a criterion to achieve a global consideration. Embedded within the CHNN is a competitive learning algorithm that resolves the dilemma of occasional irrational solutions in traditional Hopfield neural networks. Additionally, it is also shown that our proposed CHNN-based network is guaranteed to converge to a stable state in performing data association and the CHNN-based data association combined with an MTT system demonstrates target tracking capability. Computer simulation results indicate that this approach successfully solves the data association problems.
doi_str_mv	10.1109/TAES.2007.4383609
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source	IEEE Electronic Library (IEL) Journals
subjects	Aircraft components Computer simulation Cost function Electronic systems Hopfield neural networks Learning Neural networks Neurons Partitioning algorithms Radar measurement Radar measurements Radar tracking Surveillance Target tracking Tracking
title	Multiple-Target Tracking with Competitive Hopfield Neural Network Based Data Association
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