• Title/Summary/Keyword: 빔패턴 허용오차

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Analysis of Error Tolerance in Sonar Array by the Genetic Algorithm (유전자 알고리즘에 의한 소나 배열 소자의 허용오차 분석)

  • 양수화;김형동
    • The Journal of the Acoustical Society of Korea
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    • v.22 no.6
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    • pp.496-504
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    • 2003
  • In this paper, the error tolerance of each array element to ensure a given specified error level for the array pattern is analyzed using the Genetic Algorithm. In the conventional deterministic method for synthesis of sonar way problems the computational resource required in the simulation grows rapidly as the number of way elements increases. To alleviate this numerical inefficiency, the Monte-Carlo method may be considered as an alternative technique for array syntheses. However, it is difficult to apply the method to the synthesis of array patterns because of its relatively lower accuracy in spite of moderate computational complexity. A new analysis method for estimating error tolerances in sonar arrays is Proposed since the Genetic Algorithm has significant promise to efficiently solve way synthesis problems. Through several numerical tests in linear and planar arrays, it is demonstrated that the proposed method can provide accurate results for error tolerances of sonar arrays.

Analysis of Error Tolerance in Sonar Array with mutual coupling by Genetic Algorithm (유전자 알고리즘에 의한 상호결합이 고려된 소나 배열의 허용오차 분석)

  • Kim Jinseob;Kang Nadan;Lee Jiyong;Kim Hyeongdong
    • Proceedings of the Acoustical Society of Korea Conference
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    • autumn
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    • pp.471-474
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    • 2004
  • 본 논문에서는 유전자 알고리즘을 이용하여 소자간의 상호결합이 고려된 경우 빔 패턴 오차의 허용범위를 만족하는 개별소자의 허용오차를 분석하였다. 소나 배열을 통한 빔 패턴은 개별소자에 인가되는 가중치 뿐 아니라 소자간의 방사임피던스 즉 자기방사 임피던스와 음원 상호간의 음향적 간섭에 의한 상호방사 임피던스에 따라 달라진다. 본 논문에서는 유전자 알고리즘을 이용하여 상호결합이 있는 경우에 대해 1 차원과 2 차원 배열에서 주어진 빔 패턴 허용 범위를 만족하는 각 소자별 허용오차 분석하였다.

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Decision of Error Tolerance in Sonar Array by the Monte-Carlo Method (Monte-Carlo 방법에 의한 소나배열 소자의 허용오차 규정)

  • 김형동;이용범;이준영
    • The Journal of the Acoustical Society of Korea
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    • v.21 no.3
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    • pp.221-229
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    • 2002
  • In thin paper, error tolerance of each array element which satisfies error tolerance of beam pattern is decided by using the Monte-Carlo method. Conventional deterministic method decides the error tolerance of each element from the acceptance pattern by testing all cases, but this method is not suitable for the analysis of large number of array elements because the computation resources increase exponentially as the number of array elements increases. To alleviate this problem, we applied new algorithm which reduces the increment of calculation time increased by the number of the array elements. We have validates the determined error tolerance region through several simulation.