TY - GEN
T1 - Textile Patch Antenna Surrogate-based Optimization
T2 - 2023 United States National Committee of URSI National Radio Science Meeting, USNC-URSI NRSM 2023
AU - Zhang, Botian
AU - Song, Lingnan
AU - Rahmat-Sammi, Yahya
N1 - Publisher Copyright:
© 2023 USNC-URSI.
PY - 2023
Y1 - 2023
N2 - Embroidery textile antennas are becoming an essential part of wearable electronic devices because of their flexibility and seamless integration with clothes. Detailed CAD models of textile patch antennas have been proposed for full-wave simulation. However, the detailed CAD models increase simulation time and the problem becomes severe when they are applied in a population-based optimization. This study proposes a new surrogate model that maps the dimensions of textile patch antennas and the antenna impedances, which accelerates the evaluation of the antenna impedance while maintaining the evaluation accuracy. Inspired by the equivalent circuit models of textile patch antennas, the new surrogate model implements kriging interpolation on the values of equivalent circuit components. A particle swarm optimization is applied on the equivalent-circuit-based kriging interpolation surrogate model to find an optimal design that minimizes return loss at 2.4 GHz.
AB - Embroidery textile antennas are becoming an essential part of wearable electronic devices because of their flexibility and seamless integration with clothes. Detailed CAD models of textile patch antennas have been proposed for full-wave simulation. However, the detailed CAD models increase simulation time and the problem becomes severe when they are applied in a population-based optimization. This study proposes a new surrogate model that maps the dimensions of textile patch antennas and the antenna impedances, which accelerates the evaluation of the antenna impedance while maintaining the evaluation accuracy. Inspired by the equivalent circuit models of textile patch antennas, the new surrogate model implements kriging interpolation on the values of equivalent circuit components. A particle swarm optimization is applied on the equivalent-circuit-based kriging interpolation surrogate model to find an optimal design that minimizes return loss at 2.4 GHz.
UR - https://www.scopus.com/pages/publications/85149676842
U2 - 10.23919/USNC-URSINRSM57470.2023.10043169
DO - 10.23919/USNC-URSINRSM57470.2023.10043169
M3 - 会议稿件
AN - SCOPUS:85149676842
T3 - 2023 United States National Committee of URSI National Radio Science Meeting, USNC-URSI NRSM 2023 - Proceedings
SP - 145
EP - 146
BT - 2023 United States National Committee of URSI National Radio Science Meeting, USNC-URSI NRSM 2023 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 10 January 2023 through 14 January 2023
ER -