Extended neural network solution of radar tracking problems

Dend Jyi Juang; Kuo Chang Hu; Mang Liang Lee; Chih Yung Wang; Yi Nung Chung

doi:10.1109/TENCON.2007.4428841

Extended neural network solution of radar tracking problems

Dend Jyi Juang, Kuo Chang Hu, Mang Liang Lee, Chih Yung Wang, Yi Nung Chung

Department of Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Citations (Scopus)

Abstract

Data association is the key technique to solve the multiple-target tracking problems. A new approach to tracking algorithm for radar system based on the neural network is investigated in this paper. The proposed algorithm will solve both the data association and the target tracking problems simultaneously. With this approach, the matching between radar measurements and existing target tracks can achieve a global consideration. Moreover, one simple detection and estimation algorithm denoted adaptive procedure will be applied when tracking targets with maneuvering situations.

Original language	English
Title of host publication	TENCON 2007 - 2007 IEEE Region 10 Conference
DOIs	https://doi.org/10.1109/TENCON.2007.4428841
Publication status	Published - 2007 Dec 1
Event	IEEE Region 10 Conference, TENCON 2007 - Taipei, Taiwan Duration: 2007 Oct 30 → 2007 Nov 2

Publication series

Name	IEEE Region 10 Annual International Conference, Proceedings/TENCON

Other

Other	IEEE Region 10 Conference, TENCON 2007
Country	Taiwan
City	Taipei
Period	07-10-30 → 07-11-02

All Science Journal Classification (ASJC) codes

Computer Science Applications
Electrical and Electronic Engineering

Access to Document

10.1109/TENCON.2007.4428841

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Cite this

Juang, D. J., Hu, K. C., Lee, M. L., Wang, C. Y., & Chung, Y. N. (2007). Extended neural network solution of radar tracking problems. In TENCON 2007 - 2007 IEEE Region 10 Conference [4428841] (IEEE Region 10 Annual International Conference, Proceedings/TENCON). https://doi.org/10.1109/TENCON.2007.4428841

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abstract = "Data association is the key technique to solve the multiple-target tracking problems. A new approach to tracking algorithm for radar system based on the neural network is investigated in this paper. The proposed algorithm will solve both the data association and the target tracking problems simultaneously. With this approach, the matching between radar measurements and existing target tracks can achieve a global consideration. Moreover, one simple detection and estimation algorithm denoted adaptive procedure will be applied when tracking targets with maneuvering situations.",

author = "Juang, {Dend Jyi} and Hu, {Kuo Chang} and Lee, {Mang Liang} and Wang, {Chih Yung} and Chung, {Yi Nung}",

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AU - Hu, Kuo Chang

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AU - Chung, Yi Nung

PY - 2007/12/1

Y1 - 2007/12/1

N2 - Data association is the key technique to solve the multiple-target tracking problems. A new approach to tracking algorithm for radar system based on the neural network is investigated in this paper. The proposed algorithm will solve both the data association and the target tracking problems simultaneously. With this approach, the matching between radar measurements and existing target tracks can achieve a global consideration. Moreover, one simple detection and estimation algorithm denoted adaptive procedure will be applied when tracking targets with maneuvering situations.

AB - Data association is the key technique to solve the multiple-target tracking problems. A new approach to tracking algorithm for radar system based on the neural network is investigated in this paper. The proposed algorithm will solve both the data association and the target tracking problems simultaneously. With this approach, the matching between radar measurements and existing target tracks can achieve a global consideration. Moreover, one simple detection and estimation algorithm denoted adaptive procedure will be applied when tracking targets with maneuvering situations.

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