Sidelobe Level Optimization of Microstrip Patch Array using Genetic Algorithms

유전자 알고리즘을 이용한 마이크로스트립 패치 배열 안테나의 부엽레벨 최적화

  • Kim, Dong-Hyun (Dept. of Radio Sciences and Engineering, Korea University) ;
  • Kim, Young-Sik (Dept. of Radio Sciences and Engineering, Korea University)
  • 김동현 (고려대학교 전파공학과 전파기술연구실) ;
  • 김영식 (고려대학교 전파공학과 전파기술연구실)
  • Published : 2003.11.15

Abstract

In this paper, distances between elements are optimized for low sidelobe level (SLL) microstrip patch array using Genetic Algorithms. Genetic Algorithms are "global" numerical-optimization methods, it's advantages are very simple coding and fast optimization. This paper show how to optimize the maximum SLL using Genetic Algorithms. In the results, although mutual coupling is neglected, it's maximum SLL is 3.5 dB lower than Uniformly Spaced Array(distance=$0.5{\lambda}$).

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