Applying neural network algorithm to data association technique

Y. N. Chung, H. T. Chen, D. J. Juang, J. Y. Chen, J. R. Lee

研究成果: Conference contribution

1 引文 斯高帕斯(Scopus)

摘要

Data association plays an important role in radar tracking algorithm. The problem of tracking multiple targets is studied in this paper. In order to solve the complicated situation and reduce computation burden because of the multiple tracking environment, an approach has been developed in this paper. This algorithm is implemented with an adaptive filter which consists of a data association technique denoted competitive Hopfield neural network and Kalman filtering to solve both data association and target tracking problems simultaneously. In order to prove the tracking performance, a computer simulation algorithm is proposed in this paper. Because of its computation capability of this algorithm, the radar measurement related to existed target tracks can be chosen optimally. Computer simulation results indicate that this approach successfully and optimally solves the data association problems.

原文English
主出版物標題Proceedings - 9th IEEE International Workshop on Cellular Neural Networks and their Applications, CNNA2005
編輯T. Roska, B.E. Shi, Z. Chen, C.-T. Lin, C. Rekeczky
頁面114-117
頁數4
出版狀態Published - 2005 十月 31
事件9th IEEE International Workshop on Cellular Neural Networks and their Applications, CNNA - Hsinchu, Taiwan
持續時間: 2005 五月 282005 五月 30

Other

Other9th IEEE International Workshop on Cellular Neural Networks and their Applications, CNNA
國家Taiwan
城市Hsinchu
期間05-05-2805-05-30

    指紋

All Science Journal Classification (ASJC) codes

  • Software

引用此

Chung, Y. N., Chen, H. T., Juang, D. J., Chen, J. Y., & Lee, J. R. (2005). Applying neural network algorithm to data association technique. 於 T. Roska, B. E. Shi, Z. Chen, C-T. Lin, & C. Rekeczky (編輯), Proceedings - 9th IEEE International Workshop on Cellular Neural Networks and their Applications, CNNA2005 (頁 114-117)