Optimizing beam pattern of linear adaptive phase array antenna based on Particle Swarm Optimization

Chao Hsing Hsu, Chun Hua Chen, Wen Jye Shyr, Kun Huang Kuo, Yi Nung Chung, Tsung Chih Lin

研究成果: Conference contribution

8 引文 斯高帕斯(Scopus)

摘要

In this paper, an innovative optimal radiation pattern of an adaptive linear array is derived by phase-only perturbations using a Particle Swarm Optimization (PSO) algorithm. An antenna array is often made as an adaptive antenna. An optimal radiation pattern design for an adaptive antenna system is not only to suppress interference by placing a null in the direction of the interfering source but also to derive the maximum power pattern in the direction of the desired signal. The Signal Interference Ratio (SIR) can be maximized. The PSO algorithm is a new methodology in this study area, which can handle adaptive radiation pattern of antenna array. In this paper, an optimal radiation pattern of linear array is derived by phase-only perturbations using a PSO algorithm. PSO algorithms will be stated and computed for this problem. Then, the optimal solution can be derived, and simulation results are also presented in this paper.

原文English
主出版物標題Proceedings - 4th International Conference on Genetic and Evolutionary Computing, ICGEC 2010
頁面586-589
頁數4
DOIs
出版狀態Published - 2010 十二月 1
事件4th International Conference on Genetic and Evolutionary Computing, ICGEC 2010 - Shenzhen, China
持續時間: 2010 十二月 132010 十二月 15

出版系列

名字Proceedings - 4th International Conference on Genetic and Evolutionary Computing, ICGEC 2010

Other

Other4th International Conference on Genetic and Evolutionary Computing, ICGEC 2010
國家China
城市Shenzhen
期間10-12-1310-12-15

All Science Journal Classification (ASJC) codes

  • Computational Theory and Mathematics
  • Theoretical Computer Science

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  • 引用此

    Hsu, C. H., Chen, C. H., Shyr, W. J., Kuo, K. H., Chung, Y. N., & Lin, T. C. (2010). Optimizing beam pattern of linear adaptive phase array antenna based on Particle Swarm Optimization. 於 Proceedings - 4th International Conference on Genetic and Evolutionary Computing, ICGEC 2010 (頁 586-589). [5715500] (Proceedings - 4th International Conference on Genetic and Evolutionary Computing, ICGEC 2010). https://doi.org/10.1109/ICGEC.2010.150