Extended neural network solution of radar tracking problems

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

Research output: Chapter in Book/Report/Conference proceedingConference 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 languageEnglish
Title of host publicationTENCON 2007 - 2007 IEEE Region 10 Conference
DOIs
Publication statusPublished - 2007 Dec 1
EventIEEE Region 10 Conference, TENCON 2007 - Taipei, Taiwan
Duration: 2007 Oct 302007 Nov 2

Publication series

NameIEEE Region 10 Annual International Conference, Proceedings/TENCON

Other

OtherIEEE Region 10 Conference, TENCON 2007
CountryTaiwan
CityTaipei
Period07-10-3007-11-02

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Electrical and Electronic Engineering

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    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