Optimal pattern radiation design of linear adaptive array antenna using Amplitude-Phase Perturbations based on particle swarm optimization

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

研究成果: Article

1 引文 斯高帕斯(Scopus)


In this paper, an innovative optimization method based on the particle swarm optimization (PSO) algorithm is proposed for optimal radiation pattern of linear adaptive array antenna using Amplitude-Phase Perturbations. 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 PSO is used to solve combinatorial optimization problems for the weighting vector of the array factor (AF), which makes the radiation pattern optimized for the proposed adaptive antenna. The PSO algorithm is a new methodology in this study field, which can handle adaptive radiation pattern of antenna array and the signal interference ratio (SIR) can be maximized.

頁(從 - 到)481-486
期刊ICIC Express Letters, Part B: Applications
出版狀態Published - 2011 四月 1


All Science Journal Classification (ASJC) codes

  • Computer Science(all)