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Optimization of Subarray Configurations in Linear Array Antenna Using Modified Genetic Algorithm

선형 배열 안테나에서 수정된 유전 알고리즘을 이용한 부배열 구조 최적화

  • Kim, Jun-Ho (Department of Radio Science & Engineering, Kwangwoon University) ;
  • Kim, Doo-Soo (Agency for Defence Development) ;
  • Kim, Seon-Ju (Agency for Defence Development) ;
  • Yang, Hoon-Gee (Department of Radio Science & Engineering, Kwangwoon University) ;
  • Cheon, Chang-Yul (Department of Electrical and Computer Engineering, University of Seoul) ;
  • Chung, Young-Seek (Department of Radio Science & Engineering, Kwangwoon University)
  • Received : 2011.12.05
  • Accepted : 2011.12.23
  • Published : 2012.02.29

Abstract

In this paper, we propose the optimization of subarray configurations for linear array to minimize the side lobe level (SLL) in sum beam pattern based on the genetic algorithm. The operations of genetic algorithm are modified to be applied to subarray configurations. Using the proposed method, we construct subarray structure with 16 irregular subarray elements from 40 linear array elements to minimize the SLL in sum beam pattern in case of applying the adaptive beamforming(ABF) to suppress the jamming power, whose the SLL is 10 dB lower than that of regular subarray configuration.

본 논문에서는 유전 알고리즘에 기반하여 선형 위상 배열 안테나에서 합성 빔의 부엽 세기를 최소화하기 위한 부배열 구조 최적화 기법을 제안한다. 부배열 구조의 최적 설계 시 부배열 구성에 적용이 가능하도록 유전 알고리즘의 연산을 수정하였다. 제안된 부배열 설계법을 이용하여 40개의 배열 소자를 갖는 선형 배열 안테나에서 합성 빔 및 재밍에 대한 적응 신호 처리 후의 부엽 세기를 최소로 하는 불규칙 구조의 16개로 구성된 부배열구조를 설계하였고, 규칙적인 부배열 구조에서의 최대 부엽 세기보다 약 10 dB 감소된 부엽 세기를 확인하였다.

Keywords

References

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  1. Modified Genetic Algorithm for Fast Beam Formation in Wireless Network vol.40, pp.9, 2015, https://doi.org/10.7840/kics.2015.40.9.1686