DOAJ Open Access 2019

Optimization of Sparse Concentric Ring Arrays for Low Sidelobe

Kesong Chen Yafei Li Jiajia Shi

Abstrak

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.

Topik & Kata Kunci

Electrical engineering. Electronics. Nuclear engineering Cellular telephone services industry. Wireless telephone industry

Penulis (3)

Kesong Chen

Yafei Li

Jiajia Shi

Format Sitasi

APA MLA BibTeX

Chen, K., Li, Y., Shi, J. (2019). Optimization of Sparse Concentric Ring Arrays for Low Sidelobe. https://doi.org/10.1155/2019/1485075

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Informasi Jurnal

Tahun Terbit: 2019
Sumber Database: DOAJ
DOI: 10.1155/2019/1485075
Akses: Open Access ✓