IEEE AP-S/URSI 2023 || Portland, Oregon, USA || 23-28 July 2023

Institute of Electrical and Electronics Engineers (IEEE)

International Union of Radio Science

IEEE APS

U.S. NATIONAL COMMITTEE FOR URSI

National Academies Sciences Engineering Medicine

IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting

July 23–28, 2023 • Portland, Oregon, USA

23-28 July 2023 • Portland, Oregon, USA

IEEE AP-S/URSI 2023

23-28 July 2023 • Portland, Oregon, USA

WE-A1.3P.1

A Switched-Beam Yagi-Uda Antenna Array for Dual Channel mm-Wave Communications

Ectis Velazquez, Murat Yuksel, Xun Gong, University of Central Florida, United States

Session:

Wideband and Multiband Reconfigurable Antennas

Track:

AP-S: Antennas

Location:

A 107-109 (OCC)

Session Time:

Wed, 26 Jul, 13:20 - 17:00 PDT (UTC -7)

Presentation Time:

Wed, 26 Jul, 13:20 - 13:40 PDT (UTC -7)

Session Co-Chairs:

Xun Gong, University of Central Florida and Mei Song Tong, Tongji University

Session WE-A1.3P

WE-A1.3P.1: A Switched-Beam Yagi-Uda Antenna Array for Dual Channel mm-Wave Communications

Ectis Velazquez, Murat Yuksel, Xun Gong, University of Central Florida, United States

WE-A1.3P.2: Beam Steering Leaky Wave Antenna using Capacitive Loading

Shahinshah Ali, Lakehead University, Canada; Hammad Cheema, National University of Sciences and Technology (NUST), Pakistan; Farhan Ghaffar, Lakehead University, Canada

WE-A1.3P.3: Mechanically Reconfigurable Multi-band Antenna on a 3D-printed Substrate for C/X Band Applications

Karen N. Olan Nuñez, Héctor N. Morales Lovera, Roberto S. Murphy Arteaga, INAOE, Mexico

WE-A1.3P.4: Performance Improvement of Wideband Reconfigurable Planar Antennas

Abdullah Eroglu, Jyosri M Karra, North Carolina A&T State University, United States

WE-A1.3P.5: A Miniaturized Tunable Programmable Reflective Metasurface Unit Based on Minkowski Fractal Geometry

Hao Zheng Lu, Zhen Wang, Xiao Yu Li, Mei Song Tong, Tongji University, China

WE-A1.3P.6: A Fast Radiation Performance Prediction Method for Reconfigurable Transmitarray Based on BP Neural Network

Mengkai Xi, Luyu Zhao, Xidian University, China