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Optimization of Sparse Concentric Ring Arrays for Low Sidelobe
Joint Authors
Chen, Ke-song
Li, Yafei
Shi, Jiajia
Source
International Journal of Antennas and Propagation
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-06-02
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Chen, Ke-song& Li, Yafei& Shi, Jiajia. 2019. Optimization of Sparse Concentric Ring Arrays for Low Sidelobe. International Journal of Antennas and Propagation،Vol. 2019, no. 2019, pp.1-8.
https://search.emarefa.net/detail/BIM-1157222
Modern Language Association (MLA)
Chen, Ke-song…[et al.]. Optimization of Sparse Concentric Ring Arrays for Low Sidelobe. International Journal of Antennas and Propagation No. 2019 (2019), pp.1-8.
https://search.emarefa.net/detail/BIM-1157222
American Medical Association (AMA)
Chen, Ke-song& Li, Yafei& Shi, Jiajia. Optimization of Sparse Concentric Ring Arrays for Low Sidelobe. International Journal of Antennas and Propagation. 2019. Vol. 2019, no. 2019, pp.1-8.
https://search.emarefa.net/detail/BIM-1157222
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1157222