Research on Pattern Synthesis of Time Modulated Sparse Array Based on Discrete Variable Convex Optimization
Effective resource utilization is an important problem in the application of array, especially for the new time modulated array. Considering the problem of full utilization of array elements in time modulated array, a sparse optimization algorithm based on discrete variable convex optimization is pr...
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Veröffentlicht in: | Wireless communications and mobile computing 2021, Vol.2021 (1) |
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creator | Tan, Jing Hu, Jiawen Dong, Xikuan Li, Hailin Zhou, Jianjiang |
description | Effective resource utilization is an important problem in the application of array, especially for the new time modulated array. Considering the problem of full utilization of array elements in time modulated array, a sparse optimization algorithm based on discrete variable convex optimization is proposed in this paper. The pattern optimization of equal excitation time modulation array is realized in two stages: In the first stage, the number of working array elements is as low as possible under the condition of suppressing the sidelobe of the central frequency. In the second stage, the sideband is suppressed by iterative convex optimization. The numerical simulation results are compared with other methods to verify the effectiveness of the proposed method in pattern optimization of equal excitation time modulation array. Finally, the optimization performance of the algorithm with different array parameters is verified. |
doi_str_mv | 10.1155/2021/6622168 |
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Considering the problem of full utilization of array elements in time modulated array, a sparse optimization algorithm based on discrete variable convex optimization is proposed in this paper. The pattern optimization of equal excitation time modulation array is realized in two stages: In the first stage, the number of working array elements is as low as possible under the condition of suppressing the sidelobe of the central frequency. In the second stage, the sideband is suppressed by iterative convex optimization. The numerical simulation results are compared with other methods to verify the effectiveness of the proposed method in pattern optimization of equal excitation time modulation array. Finally, the optimization performance of the algorithm with different array parameters is verified.</description><identifier>ISSN: 1530-8669</identifier><identifier>EISSN: 1530-8677</identifier><identifier>DOI: 10.1155/2021/6622168</identifier><language>eng</language><publisher>Oxford: Hindawi</publisher><subject>Algorithms ; Antennas ; Arrays ; Computational geometry ; Convex analysis ; Convexity ; Excitation ; Iterative methods ; Modulation ; Optimization ; Optimization algorithms ; Resource utilization ; Satellite communications ; Sidelobe reduction ; Sidelobes</subject><ispartof>Wireless communications and mobile computing, 2021, Vol.2021 (1)</ispartof><rights>Copyright © 2021 Jing Tan et al.</rights><rights>Copyright © 2021 Jing Tan et al. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). 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Considering the problem of full utilization of array elements in time modulated array, a sparse optimization algorithm based on discrete variable convex optimization is proposed in this paper. The pattern optimization of equal excitation time modulation array is realized in two stages: In the first stage, the number of working array elements is as low as possible under the condition of suppressing the sidelobe of the central frequency. In the second stage, the sideband is suppressed by iterative convex optimization. The numerical simulation results are compared with other methods to verify the effectiveness of the proposed method in pattern optimization of equal excitation time modulation array. 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subjects | Algorithms Antennas Arrays Computational geometry Convex analysis Convexity Excitation Iterative methods Modulation Optimization Optimization algorithms Resource utilization Satellite communications Sidelobe reduction Sidelobes |
title | Research on Pattern Synthesis of Time Modulated Sparse Array Based on Discrete Variable Convex Optimization |
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