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Pattern Synthesis of Linear Antenna Array Using Improved Differential Evolution Algorithm with SPS Framework

delete2020-09-10
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OA
AI
R
Ruimeng Zhang
张
张艳 (Yan Zhang)
J
Jinping Sun *
Q
Qing Li
DOI:10.3390/s20185158delete
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摘要

摘要

En 中文
In this paper, an improved differential evolution (DE) algorithm with the successful-parent-selecting (SPS) framework, named SPS-JADE, is applied to the pattern synthesis of linear antenna arrays. Here, the pattern synthesis of the linear antenna arrays is viewed as an optimization problem with excitation amplitudes being the optimization variables and attaining sidelobe suppression and null depth being the optimization objectives. For this optimization problem, an improved DE algorithm named JADE is introduced, and the SPS framework is used to solve the stagnation problem of the DE algorithm, which further improves the DE algorithm's performance. Finally, the combined SPS-JADE algorithm is verified in simulation experiments of the pattern synthesis of an antenna array, and the results are compared with those obtained by other state-of-the-art random optimization algorithms. The results demonstrate that the proposed SPS-JADE algorithm is superior to other algorithms in the pattern synthesis performance with a lower sidelobe level and a more satisfactory null depth under the constraint of beamwidth requirement.
Keyword:
random optimization algorithm
differential evolution algorithm
SPS framework
SPS-JADE algorithm
antenna array
sidelobe suppression
null depth
pattern synthesis
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Sensors 封面图
Sensors
IF:
3.5
论文数:
7.2W
被引数:
20.9W

机构

B
Beihang University
学者数:
5.2W
论文数: 4.1W
被引数: 37
U
University of Cambridge
学者数:
7.7W
论文数: 7.1W
被引数: 13.7W
引用论文

引用论文

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