Low-Sidelobe Pattern Synthesis for Sparse Conformal Arrays Based on Multiagent Genetic Algorithm

Ganyu Liu; Hailiang Zhu; Kai Wang; Yuwei Qiu; Jinchao Mou; Pei Zheng; Gao Wei

doi:10.1109/AP-S/USNC-URSI47032.2022.9886198

Low-Sidelobe Pattern Synthesis for Sparse Conformal Arrays Based on Multiagent Genetic Algorithm

Ganyu Liu, Hailiang Zhu, Kai Wang, Yuwei Qiu, Jinchao Mou, Pei Zheng, Gao Wei

电子信息学院

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

3 引用（Scopus）

摘要

In this paper, multiagent genetic algorithm (MAGA) is firstly applied to tackle the synthesis of conformal sparse array, a constrained multi-objective optimization problem. Moreover, a model considered low peak sidelobe level (PSLL) is given for conformal sparse array synthesis. For the antenna array deployed on a quadric surface, the PSLL can be reduced by obtaining the optimal antenna element arrangement. An example of 256-element array synthesis with a 56% sparse rate proves MAGA as an effective optimization tool for conformal sparse arrays in low computational cost.

源语言	英语
主期刊名	2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022 - Proceedings
出版商	Institute of Electrical and Electronics Engineers Inc.
页	1044-1045
页数	2
ISBN（电子版）	9781665496582
DOI	https://doi.org/10.1109/AP-S/USNC-URSI47032.2022.9886198
出版状态	已出版 - 2022
活动	2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022 - Denver, 美国期限: 10 7月 2022 → 15 7月 2022

出版系列

姓名	2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022 - Proceedings

会议

会议	2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022
国家/地区	美国
市	Denver
时期	10/07/22 → 15/07/22

访问文件

10.1109/AP-S/USNC-URSI47032.2022.9886198

其它文件与链接

链接到 Scopus 的出版物

引用此

Liu, G., Zhu, H., Wang, K., Qiu, Y., Mou, J., Zheng, P., & Wei, G. (2022). Low-Sidelobe Pattern Synthesis for Sparse Conformal Arrays Based on Multiagent Genetic Algorithm. 在 2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022 - Proceedings (页码 1044-1045). (2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/AP-S/USNC-URSI47032.2022.9886198

Liu, Ganyu ; Zhu, Hailiang ; Wang, Kai 等. / Low-Sidelobe Pattern Synthesis for Sparse Conformal Arrays Based on Multiagent Genetic Algorithm. 2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2022. 页码 1044-1045 (2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022 - Proceedings).

@inproceedings{3c16b62bfb124d5d896f83904f18d9b5,

title = "Low-Sidelobe Pattern Synthesis for Sparse Conformal Arrays Based on Multiagent Genetic Algorithm",

abstract = "In this paper, multiagent genetic algorithm (MAGA) is firstly applied to tackle the synthesis of conformal sparse array, a constrained multi-objective optimization problem. Moreover, a model considered low peak sidelobe level (PSLL) is given for conformal sparse array synthesis. For the antenna array deployed on a quadric surface, the PSLL can be reduced by obtaining the optimal antenna element arrangement. An example of 256-element array synthesis with a 56% sparse rate proves MAGA as an effective optimization tool for conformal sparse arrays in low computational cost.",

author = "Ganyu Liu and Hailiang Zhu and Kai Wang and Yuwei Qiu and Jinchao Mou and Pei Zheng and Gao Wei",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022 ; Conference date: 10-07-2022 Through 15-07-2022",

year = "2022",

doi = "10.1109/AP-S/USNC-URSI47032.2022.9886198",

language = "英语",

series = "2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022 - Proceedings",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "1044--1045",

booktitle = "2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022 - Proceedings",

}

Liu, G, Zhu, H, Wang, K, Qiu, Y, Mou, J, Zheng, P & Wei, G 2022, Low-Sidelobe Pattern Synthesis for Sparse Conformal Arrays Based on Multiagent Genetic Algorithm. 在 2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022 - Proceedings. 2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022 - Proceedings, Institute of Electrical and Electronics Engineers Inc., 页码 1044-1045, 2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022, Denver, 美国, 10/07/22. https://doi.org/10.1109/AP-S/USNC-URSI47032.2022.9886198

Low-Sidelobe Pattern Synthesis for Sparse Conformal Arrays Based on Multiagent Genetic Algorithm. / Liu, Ganyu; Zhu, Hailiang; Wang, Kai 等.
2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2022. 页码 1044-1045 (2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022 - Proceedings).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

TY - GEN

T1 - Low-Sidelobe Pattern Synthesis for Sparse Conformal Arrays Based on Multiagent Genetic Algorithm

AU - Liu, Ganyu

AU - Zhu, Hailiang

AU - Wang, Kai

AU - Qiu, Yuwei

AU - Mou, Jinchao

AU - Zheng, Pei

AU - Wei, Gao

PY - 2022

Y1 - 2022

N2 - In this paper, multiagent genetic algorithm (MAGA) is firstly applied to tackle the synthesis of conformal sparse array, a constrained multi-objective optimization problem. Moreover, a model considered low peak sidelobe level (PSLL) is given for conformal sparse array synthesis. For the antenna array deployed on a quadric surface, the PSLL can be reduced by obtaining the optimal antenna element arrangement. An example of 256-element array synthesis with a 56% sparse rate proves MAGA as an effective optimization tool for conformal sparse arrays in low computational cost.

AB - In this paper, multiagent genetic algorithm (MAGA) is firstly applied to tackle the synthesis of conformal sparse array, a constrained multi-objective optimization problem. Moreover, a model considered low peak sidelobe level (PSLL) is given for conformal sparse array synthesis. For the antenna array deployed on a quadric surface, the PSLL can be reduced by obtaining the optimal antenna element arrangement. An example of 256-element array synthesis with a 56% sparse rate proves MAGA as an effective optimization tool for conformal sparse arrays in low computational cost.

UR - http://www.scopus.com/inward/record.url?scp=85139752198&partnerID=8YFLogxK

U2 - 10.1109/AP-S/USNC-URSI47032.2022.9886198

DO - 10.1109/AP-S/USNC-URSI47032.2022.9886198

M3 - 会议稿件

AN - SCOPUS:85139752198

T3 - 2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022 - Proceedings

SP - 1044

EP - 1045

BT - 2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022

Y2 - 10 July 2022 through 15 July 2022

ER -

Liu G, Zhu H, Wang K, Qiu Y, Mou J, Zheng P 等. Low-Sidelobe Pattern Synthesis for Sparse Conformal Arrays Based on Multiagent Genetic Algorithm. 在 2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2022. 页码 1044-1045. (2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022 - Proceedings). doi: 10.1109/AP-S/USNC-URSI47032.2022.9886198

Low-Sidelobe Pattern Synthesis for Sparse Conformal Arrays Based on Multiagent Genetic Algorithm

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