Design thinned arrays using genetic algorithm-enhanced density-tapered method

This paper proposes a genetic algorithm-enhanced density-tapered method to design linear thinned arrays with low peak sidelobe level (PSLL). This method can reduce the randomness of PSLL of the array designed by density-tapered method and the number of independent variables when using genetic algori...

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Bibliographic Details
Main Authors Tian, Jiahao, Dong, Wenhao, Zhou, Jianxiong
Format Conference Proceeding
LanguageEnglish
Published SPIE 14.12.2021
Online AccessGet full text
ISBN1510650504
9781510650503
ISSN0277-786X
DOI10.1117/12.2624751

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Summary:This paper proposes a genetic algorithm-enhanced density-tapered method to design linear thinned arrays with low peak sidelobe level (PSLL). This method can reduce the randomness of PSLL of the array designed by density-tapered method and the number of independent variables when using genetic algorithm to optimize the position of array element. The numerical validation, carried out in the far-field and for narrow-band signals, points out that using the proposed method to design thinned array can obtain lower PSLL than the original density-tapered method.
Bibliography:Conference Date: 2021-10-29|2021-10-31
Conference Location: Kunming, China
ISBN:1510650504
9781510650503
ISSN:0277-786X
DOI:10.1117/12.2624751