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

TH-UB.2P.7

Estimation of the Radio Refractive Index Based on a Deep Neural Network

Junmo Yang, Jun Heo, Ajou University, Korea (South); Dong-Yeop Na, Pohang University of Science and Technology, Korea (South); Yong Bae Park, Ajou University, Korea (South)

Session:

Electromagnetic Propagation and Scattering

Track:

B: Propagation, Scattering, Sensing

Location:

C 120-122 (OCC)

Session Time:

Thu, 27 Jul, 13:20 - 17:00 PDT (UTC -8)

Presentation Time:

Thu, 27 Jul, 15:40 - 16:00 PDT (UTC -8)

Session Co-Chairs:

Robert Gardner, Georgia Tech Research Institute and Edwin Marengo, Northeastern University

Session TH-UB.2P

TH-UB.2P.1: Radar Cross-section Prediction from Cylindrically Scanned Near-Field Samples Applicable for Differences in the Radar Range of the Transmitter and Receiver

Yoshihiko Akamine, Takashi Tomura, Jiro Hirokawa, Tokyo Institute of Technology, Japan

TH-UB.2P.2: Sub-GHz Radio Path Loss Model Creation and Error Analysis

Pooja Patankar, Erik Saturnino Gamez Rodriguez, Barmecha Naman, Sai Ananthanarayanan, Sriram Srinivasan, Amazon Lab126, United States

TH-UB.2P.3: Optical theorems for transient and broadband electromagnetic fields

Edwin Marengo, Northeastern University, United States

TH-UB.2P.4: Exact Solution for an Electric Dipole Located Inside a Multilayer Semi-Oblate Spheroidal Cavity that Radiates into a DNG Half-Space

Anastasiia Rozhkova, University of Illinois Chicago, United States; Ermanno Citraro, Politecnico di Torino, Italy; Danilo Erricolo, University of Illinois Chicago, United States; Francesco Andriulli, Politecnico di Torino, Italy

TH-UB.2P.5: Study and Analysis of Network Connectivity of robot in indoor environment

nabih allaw, Université du Québec en Abitibi-Témiscamingue, Canada; Nadir Hakem, Laboratoire de Recherche Télébec en Communications Souterraines, Canada; Nahi kandil, Université du Québec en Abitibi-Témiscamingue, Canada

TH-UB.2P.6: A Study on Determination Method of IRS Reflection Patterns Using Radio Environmental Map

Tomofumi Kanno, Hiromi Matsuno, Takuya Ohto, Tatsuya Nagao, Michihiro Harada, Takahiro Hayashi, KDDI Research, Inc., Japan

TH-UB.2P.7: Estimation of the Radio Refractive Index Based on a Deep Neural Network

Junmo Yang, Jun Heo, Ajou University, Korea (South); Dong-Yeop Na, Pohang University of Science and Technology, Korea (South); Yong Bae Park, Ajou University, Korea (South)

TH-UB.2P.8: Path Loss From the Perspective of Electromagnetic Information Theory

Ruifeng LI, Da LI, Er-Ping LI, Zhejiang University, China

TH-UB.2P.9: MULTICOMMODITY NETWORK FLOW FOR INDOOR PROGATION LOSS PREDICTION

Alexandre Oliveira, Glauco Fontgalland Filho, Nathan Bezerra Gurgel, Glauco Fontgalland, UFCG, Brazil; Humberto Dionísio de Andrade, UFERSA, Brazil

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

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

Estimation of the Radio Refractive Index Based on a Deep Neural Network