Pattern Synthesis for Sparse Circular Arrays Based on the Snake Optimizer

Xiao Zhang*, Xiang Gao*, Heng Liu, Xiangyuan Bu, Jianping An

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper presents a sparseness design method based on the snake optimizer (SO) for circular array beamforming. Detailed numerical simulations are carried out to validate the effectiveness of the sparseness design method and circular sparse array performance. Utilizing the method can significantly reduce the array elements meanwhile suppressing the maximum sidelobe level. Moreover, the SO based design method exhibits superiority to other popular methods.

Original languageEnglish
Title of host publication2023 IEEE 11th Asia-Pacific Conference on Antennas and Propagation, APCAP 2023 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350326277
DOIs
Publication statusPublished - 2023
Event11th IEEE Asia-Pacific Conference on Antennas and Propagation, APCAP 2023 - Proceedings - Guangzhou, China
Duration: 22 Nov 202324 Nov 2023

Publication series

Name2023 IEEE 11th Asia-Pacific Conference on Antennas and Propagation, APCAP 2023 - Proceedings

Conference

Conference11th IEEE Asia-Pacific Conference on Antennas and Propagation, APCAP 2023 - Proceedings
Country/TerritoryChina
CityGuangzhou
Period22/11/2324/11/23

Fingerprint

Dive into the research topics of 'Pattern Synthesis for Sparse Circular Arrays Based on the Snake Optimizer'. Together they form a unique fingerprint.

Cite this