@inproceedings{80b6f6de92a64f82aabe7a3ecad204c3,
title = "A Novel Phase Optimization Method for Sidelobe-Level Suppression of 1-Bit Reconfigurable Reflectarrays",
abstract = "A novel phase optimization method for sidelobe-level suppression of 1-blt reconfigurable reflectarrays (RRAs) is proposed. Simply by switching/reversing the binary phase states of unit cells, the sidelobe level suppression can be attained. Furthermore, to enhance the effectiveness without significantly increasing optimization complexity, the hybrid optimization algorithm, incorporating EM simulated and theoretically calculated results, is used to determine optimal phase distribution over reflectarray aperture. To validate the feasibility, a 15× 15 patch reflectarray, which is composed of only two physical lengths to represent two phase states, was experimentally developed and tested, where the sidelobe level is improved from 11.1 dB to 14.3 dB with small peak gain variation from 21.4 dBi to 20.8 dBi.",
keywords = "1-bit, EM simulation, hybrid algorithm, reconfigurable, reflectarray, sidelobe-level suppression",
author = "Hu, {Jian Jia} and Chi, {Pei Ling} and Tao Yang",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2023 ; Conference date: 23-07-2023 Through 28-07-2023",
year = "2023",
doi = "10.1109/USNC-URSI52151.2023.10237730",
language = "English",
series = "IEEE Antennas and Propagation Society, AP-S International Symposium (Digest)",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1135--1136",
booktitle = "2023 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2023 - Proceedings",
address = "United States",
}