Optimal radiation pattern design of adaptive linear array antenna by phase and amplitude perturbations using memetic algorithms

Chao Hsing Hsu, Pao Hua Chou, Wen Jye Shyr, Yi Nung Chung

研究成果: Article

13 引文 斯高帕斯(Scopus)


A novel method based on the memetic algorithm for the optimal radiation pattern of a linear array antenna by phase-amplitude perturbations is proposed. An optimal radiation pattern design for an adaptive antenna is not only adjustably to suppress interference in the interfering direction but also adjustably to derive the maximum power radiation pattern in the desired signal's direction. The memetic algorithm is applied to find the optimal radiation pattern of the proposed adaptive antenna by using a twoway convergent method. The Memetic algorithm combines the advantages of efficient heuristics incorporating domain knowledge and population-based search approaches for optimization problems. In this study, we show the usefulness of a memetic algorithm for global search and flexibly reasonable stopping criteria. This skill is also able to do the cancelation of multiple interferences for different incident directions. Two examples are provided to justify the proposed phase-amplitude perturbations approach based on memetic algorithms. Computer simulation results are given to demonstrate the effectiveness of the proposed method.

頁(從 - 到)1273-1287
期刊International Journal of Innovative Computing, Information and Control
出版狀態Published - 2007 十月 1


All Science Journal Classification (ASJC) codes

  • Software
  • Theoretical Computer Science
  • Information Systems
  • Computational Theory and Mathematics