TY - GEN
T1 - A Novel Phase Optimization Method for Sidelobe-Level Suppression of 1-Bit Reconfigurable Reflectarrays
AU - Hu, Jian Jia
AU - Chi, Pei Ling
AU - Yang, Tao
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - 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.
AB - 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.
KW - 1-bit
KW - EM simulation
KW - hybrid algorithm
KW - reconfigurable
KW - reflectarray
KW - sidelobe-level suppression
UR - http://www.scopus.com/inward/record.url?scp=85172414062&partnerID=8YFLogxK
U2 - 10.1109/USNC-URSI52151.2023.10237730
DO - 10.1109/USNC-URSI52151.2023.10237730
M3 - Conference contribution
AN - SCOPUS:85172414062
T3 - IEEE Antennas and Propagation Society, AP-S International Symposium (Digest)
SP - 1135
EP - 1136
BT - 2023 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2023 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2023
Y2 - 23 July 2023 through 28 July 2023
ER -