Radiation Pattern Improvement Using Characteristic Mode Analysis (CMA)

Date: 2020/09/10 - 2020/09/10

Academic Seminar: Radiation Pattern Improvement Using Characteristic Mode Analysis (CMA)

Speaker: Dr. Huiwen Sheng, National University of Singapore

Time: 9:00 a.m.-10:00 a.m., September 10th, 2020 (Thursday)

Location: via Zoom (Meeting ID: 64865012133 Password: 7918)

Abstract

Antenna integration is increasingly demanded for high system capacity and versatile functionalities. Multiple antennas and sophisticated radio frequency modules are installed together in communication systems. The radiation patterns of antennas can be seriously distorted due to the strong mutual coupling between closely placed antennas as well as the asymmetric operating environment, which may degrade the performance of the entire communication system. The antenna system is analyzed using characteristic mode analysis (CMA). Useful information is provided by the CMA and guides the design to improve the radiation patterns of antennas. The proposed methods are promising for wireless communication system design in the 5G and 6G.

Biography

Sheng Huiwen is currently pursuing her PhD degree at National University of Singapore (NUS), under the supervision of Professor Chen Zhi Ning. Before that, she received her B. Eng. with honors from Chu Kochen Honors College at Zhejiang University in 2016. Her research interests include characteristic mode analysis (CMA), radiation pattern control, and metasurface (MTS) antennas. She is the recipient of NUS Graduate School for Integrative Sciences and Engineering Scholarship (NGSS). She won the Best Student Paper Award for 2019 IEEE Workshop on RFID for Smart City/ Academic Forum on Metamaterials for EM Engineering and 2020 IEEE Asia-Pacific Conference on Antennas and Propagation (APCAP).