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文章基本信息

  • 标题:Optimization of Sparse Concentric Ring Arrays for Low Sidelobe
  • 本地全文:下载
  • 作者:Kesong Chen ; Yafei Li ; Jiajia Shi
  • 期刊名称:International Journal of Antennas and Propagation
  • 印刷版ISSN:1687-5869
  • 电子版ISSN:1687-5877
  • 出版年度:2019
  • 卷号:2019
  • 页码:1-9
  • DOI:10.1155/2019/1485075
  • 出版社:Hindawi Publishing Corporation
  • 摘要:To lower the peak sidelobe level (PSLL) of sparse concentric ring arrays, a method with multiple design constraints that embed a function model into modified real genetic algorithm (MGA) and select the grid ring radii as optimization individual to synthesize sparse concentric ring arrays is proposed. The multiple constraints include the array aperture, the minimum element spacing, and the number of elements. The proposed method dynamically calculates the ratio of element on each ring, and it has a faster convergence rate than other algorithms. The MGA uses real number to code the optimization variable, and it reduces the complexity of coding and improves the search efficiency. Finally, the results demonstrate the accuracy and effectiveness of the algorithm.
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