Efficient Optimization Design of Large Circular Phased Arrays With Low Sidelobes for Beam Scanning
This paper proposes an efficient optimization design method for large circular phased arrays with low sidelobes for beam scanning. Based on the differential evolution algorithm (DE), each layer’s radius and element number are optimized to obtain the required element arrangement. If the ma...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2023-01-01
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| Series: | IEEE Open Journal of Antennas and Propagation |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10238845/ |
| _version_ | 1797674319327789056 |
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| author | Yi-Xuan Zhang Tian-Ye Gao Li Zhang Yong-Chang Jiao Tao Ni |
| author_facet | Yi-Xuan Zhang Tian-Ye Gao Li Zhang Yong-Chang Jiao Tao Ni |
| author_sort | Yi-Xuan Zhang |
| collection | DOAJ |
| description | This paper proposes an efficient optimization design method for large circular phased arrays with low sidelobes for beam scanning. Based on the differential evolution algorithm (DE), each layer’s radius and element number are optimized to obtain the required element arrangement. If the main beam scans from the Z-axis, it is difficult for designers to find the maximum sidelobe. In addition, a computer with a large memory is required to achieve the final fine verification of the array elements arrangement, and the calculation time is unbearable. To solve these problems, the array structure is rotated so that the direction of the main beam is rotated to the Z-axis, and then the radiation pattern is divided into high-density and low-density areas for random sampling, which improves the calculation speed while ensuring the calculation accuracy. To quickly verify whether the array arrangement obtained by the final design meets the performance requirements, the radiation pattern of the final result is distributed to multiple computers for distributed calculation, which significantly reduces computer memory and time consumption. The numerical experiment shows that the method proposed in this paper can obtain the array arrangement that meets the performance requirements in a short optimization time. |
| first_indexed | 2024-03-11T21:57:21Z |
| format | Article |
| id | doaj.art-13d6a05833f54c0c912a41724fa1540b |
| institution | Directory Open Access Journal |
| issn | 2637-6431 |
| language | English |
| last_indexed | 2024-03-11T21:57:21Z |
| publishDate | 2023-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Open Journal of Antennas and Propagation |
| spelling | doaj.art-13d6a05833f54c0c912a41724fa1540b2023-09-25T23:00:39ZengIEEEIEEE Open Journal of Antennas and Propagation2637-64312023-01-01489089910.1109/OJAP.2023.331158210238845Efficient Optimization Design of Large Circular Phased Arrays With Low Sidelobes for Beam ScanningYi-Xuan Zhang0https://orcid.org/0000-0002-8131-0064Tian-Ye Gao1https://orcid.org/0000-0002-1340-574XLi Zhang2https://orcid.org/0000-0002-2465-6755Yong-Chang Jiao3https://orcid.org/0000-0001-7936-7355Tao Ni4Hangzhou Institute of Technology, Xidian University, Hangzhou, ChinaNational Key Laboratory of Antennas and Microwave Technology, Xidian University, Xi’an, ChinaHangzhou Institute of Technology, Xidian University, Hangzhou, ChinaNational Key Laboratory of Antennas and Microwave Technology, Xidian University, Xi’an, ChinaThe 20th Institute of Chinese Electronics Technology Company, Xi’an, ChinaThis paper proposes an efficient optimization design method for large circular phased arrays with low sidelobes for beam scanning. Based on the differential evolution algorithm (DE), each layer’s radius and element number are optimized to obtain the required element arrangement. If the main beam scans from the Z-axis, it is difficult for designers to find the maximum sidelobe. In addition, a computer with a large memory is required to achieve the final fine verification of the array elements arrangement, and the calculation time is unbearable. To solve these problems, the array structure is rotated so that the direction of the main beam is rotated to the Z-axis, and then the radiation pattern is divided into high-density and low-density areas for random sampling, which improves the calculation speed while ensuring the calculation accuracy. To quickly verify whether the array arrangement obtained by the final design meets the performance requirements, the radiation pattern of the final result is distributed to multiple computers for distributed calculation, which significantly reduces computer memory and time consumption. The numerical experiment shows that the method proposed in this paper can obtain the array arrangement that meets the performance requirements in a short optimization time.https://ieeexplore.ieee.org/document/10238845/Large circular arrayphased arraybeam scanninglow sidelobedifferential evolution algorithm (DE) |
| spellingShingle | Yi-Xuan Zhang Tian-Ye Gao Li Zhang Yong-Chang Jiao Tao Ni Efficient Optimization Design of Large Circular Phased Arrays With Low Sidelobes for Beam Scanning IEEE Open Journal of Antennas and Propagation Large circular array phased array beam scanning low sidelobe differential evolution algorithm (DE) |
| title | Efficient Optimization Design of Large Circular Phased Arrays With Low Sidelobes for Beam Scanning |
| title_full | Efficient Optimization Design of Large Circular Phased Arrays With Low Sidelobes for Beam Scanning |
| title_fullStr | Efficient Optimization Design of Large Circular Phased Arrays With Low Sidelobes for Beam Scanning |
| title_full_unstemmed | Efficient Optimization Design of Large Circular Phased Arrays With Low Sidelobes for Beam Scanning |
| title_short | Efficient Optimization Design of Large Circular Phased Arrays With Low Sidelobes for Beam Scanning |
| title_sort | efficient optimization design of large circular phased arrays with low sidelobes for beam scanning |
| topic | Large circular array phased array beam scanning low sidelobe differential evolution algorithm (DE) |
| url | https://ieeexplore.ieee.org/document/10238845/ |
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