MO-A8.1P.3
Deep Learning based Super-Resolution MIMO OAM Radar
Yugang Ma, Francois Po Shin Chin, ASTAR I2R, Singapore
Session:
MIMO Antennas Oral
Track:
AP-S: Track 8: Wireless Communications
Location:
Huntington: Room 354
Session Time:
Mon, 13 Jul, 13:20 - 15:00
Presentation Time:
Mon, 13 Jul, 14:00 - 14:20
Session Co-Chairs:
Yugang Ma, Astar I2R and Coady Lewis, U Michigan
Presentation
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Discussion
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Session MO-A8.1P
MO-A8.1P.1: Energy Efficiency Analysis of Hybrid Beamforming Architectures for Large-Scale MIMO
Siti Aisyah, Angela Doufexi, Simon Armour, Waqas bin Abbas, University of Bristol, United Kingdom
MO-A8.1P.2: Correlation study in 3D Multi-probe OTA Setup for Massive MIMO in FR3 bands
Mohamed Vall Sid'Amar, Raffaele D'Errico, Frédéric Munoz, CEA Leti, France; Bernard Uguen, University of Rennes, France
MO-A8.1P.3: Deep Learning based Super-Resolution MIMO OAM Radar
Yugang Ma, Francois Po Shin Chin, ASTAR I2R, Singapore
MO-A8.1P.4: Efficient Wideband Beamforming for Full-Duplex Fixed-Subarray Massive MIMO Systems
Xuelian Tang, Ying Shen, Zijing Li, Yang Li, Tong Li, Shihai Shao, University of Electronic Science and Technology of China, China
MO-A8.1P.5: Experimental Study of ILS Recovery Under Propeller Modulation Using a Reference Tone
Saif Mostafa, Pavithrakrishnan Radhakrishnan, Oklahoma State university, United States; Mostafa Ibrahim, Sabit Ekin, Texas A&M University, United States; Syed S. Jehangir, Oklahoma State university, United States
Resources