The Journal of the Korea institute of electronic communication sciences (한국전자통신학회논문지)

Korea Institute of Electronic Communication Science (한국전자통신학회)
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Improved Genetic Algorithm for Pattern Synthesis of Phased Array Antenna

위상 배열 안테나의 패턴 합성을 위한 개선된 유전 알고리즘

  • Jung, Jin-Woo (Dept. of Electronics and Computer Engineering, Chonnam National University)
  • 정진우 (전남대학교 전자컴퓨터공학과)
  • Received : 2018.03.08
  • Accepted : 2018.04.15
  • Published : 2018.04.30
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Abstract

An improved genetic algorithm was proposed for pattern synthesis of an adaptive beam forming system using phased array antennas. The proposed genetic algorithm is an algorithm that adds acquired characteristics procedure to solve local optimization using the diversity. The performance of the proposed genetic algorithm is verified through the problem of finding a suitable chromosome for a picture composed of binary. And it is confirmed that it is suitable for the adaptive beam forming system based on the performance problem of combining main beam and two pattern nulls.

위상 배열 안테나를 이용한 적응형 빔 형성 시스템의 패턴 합성을 위한 개선된 유전 알고리즘을 제안하였다. 제안된 유전 알고리즘은 지역 최적화 문제를 해소하기 위해 종의 다양성을 확보하는 후천적 형질 획득 절차를 추가한 알고리즘이다. 제안된 유전 알고리즘의 성능을 이진으로 구성된 그림에 적합한 유전자 배열을 찾는 문제를 통해 검증하였다. 그리고 주 빔과 2개의 패턴 널 합성 문제 해소 성능을 기반으로 적응형 빔 형성 시스템에 적합함을 확인하였다.

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References

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