Extended neural network solution of radar tracking problems

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

研究成果: Conference contribution

2 引文 斯高帕斯(Scopus)

摘要

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.

原文English
主出版物標題TENCON 2007 - 2007 IEEE Region 10 Conference
DOIs
出版狀態Published - 2007 十二月 1
事件IEEE Region 10 Conference, TENCON 2007 - Taipei, Taiwan
持續時間: 2007 十月 302007 十一月 2

出版系列

名字IEEE Region 10 Annual International Conference, Proceedings/TENCON

Other

OtherIEEE Region 10 Conference, TENCON 2007
國家Taiwan
城市Taipei
期間07-10-3007-11-02

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Electrical and Electronic Engineering

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  • 引用此

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