Table of Contents Author Guidelines Submit a Manuscript
International Journal of Antennas and Propagation
Volume 2019, Article ID 1485075, 8 pages
https://doi.org/10.1155/2019/1485075
Research Article

Optimization of Sparse Concentric Ring Arrays for Low Sidelobe

School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China

Correspondence should be addressed to Yafei Li; moc.361@6537631il

Received 22 January 2019; Accepted 30 April 2019; Published 2 June 2019

Academic Editor: Xiulong Bao

Copyright © 2019 Kesong Chen et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

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.