An Anti-Interference Antenna Array Sparsity Method Based on White Crane Swarm Algorithm

Sparse antenna array is designed to address the high cost and complexity of array antenna devices. Null steering technique is proposed to suppress the interference that electromagnetic environment exists widely. So as to find an antenna array sparsity method that can reduce the antenna cost and suppress interference while keeping the sidelobe level of the array low, the antenna array sparsity problem and the formation of null steering are designed as a constrained optimization problem, which the traditional optimization algorithms cannot be directly used to solve. Thus, the white crane swarm algorithm (WCSA) is designed and obtains better optimization effects than some traditional optimization algorithms. Additionally, WCSA gets better optimization results for antenna array sparsity constrained optimization problems than some traditional optimization algorithms.

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Publication Details

Published
2024-10-25
DOI
https://doi.org/10.1109/ccpqt64497.2024.00019
Primary Topic
Antenna Design and Optimization
Type
article
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An Anti-Interference Antenna Array Sparsity Method Based on White Crane Swarm Algorithm

Hongyuan Gao, Xiaoyuan Gu, Qinglin Zhu, Feng Qin et al.
Antenna Design and Optimization
article

An Anti-Interference Antenna Array Sparsity Method Based on White Crane Swarm Algorithm

Hongyuan Gao, Xiaoyuan Gu, Qinglin Zhu, Feng Qin, Jiayi Wang
article en

Abstract

Sparse antenna array is designed to address the high cost and complexity of array antenna devices. Null steering technique is proposed to suppress the interference that electromagnetic environment exists widely. So as to find an antenna array sparsity method that can reduce the antenna cost and suppress interference while keeping the sidelobe level of the array low, the antenna array sparsity problem and the formation of null steering are designed as a constrained optimization problem, which the traditional optimization algorithms cannot be directly used to solve. Thus, the white crane swarm algorithm (WCSA) is designed and obtains better optimization effects than some traditional optimization algorithms. Additionally, WCSA gets better optimization results for antenna array sparsity constrained optimization problems than some traditional optimization algorithms.

Harbin Engineering University (CN), China State Shipbuilding (China) (CN)
Affordable and clean energy
Openalex Percentile: Top 54%
Antenna Design and Optimization
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An Anti-Interference Antenna Array Sparsity Method Based on White Crane Swarm Algorithm — Hongyuan Gao, Xiaoyuan Gu, et al. · (2024) | TGRS Research Map | TGRS