Optimization of Sparse Concentric Ring Arrays for Low Sidelobe

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...

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Bibliographic Details
Published inInternational journal of antennas and propagation Vol. 2019; no. 2019; pp. 1 - 8
Main Authors Chen, Ke-song, Shi, Jiajia, Li, Yafei
Format Journal Article
LanguageEnglish
Published Cairo, Egypt Hindawi Publishing Corporation 01.01.2019
Hindawi
Hindawi Limited
Wiley
Subjects
Apertures
Arrays
Constraint modelling
Design
Design modifications
Genetic algorithms
Optimization
Performance evaluation
Propagation
Satellites
Sidelobe reduction
Sidelobes
Sparsity
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Summary: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.
ISSN:1687-5869
1687-5877
DOI:10.1155/2019/1485075