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

MO-A4.4P.3

Evaluation of Methods to Generate Spread Spectrum Time Domain Reflectometry

Cynthia Furse, Samuel Hansen, Evan Benoit, University of Utah, United States; Joel Harley, University of Florida, United States

Session:

Target Detection and Identification

Track:

AP-S: Propagation & Scattering

Location:

C 124 (OCC)

Session Time:

Mon, 24 Jul, 13:20 - 15:00 PDT (UTC -7)

Presentation Time:

Mon, 24 Jul, 14:00 - 14:20 PDT (UTC -7)

Session Co-Chairs:

Branislav Notaros, Colorado State University and Cynthia Furse, University of Utah

Session MO-A4.4P

MO-A4.4P.1: Long-Range Reading of Multiple Chipless Sensors from the Isoline Processing of 3D Radar Images

Ali HADJ DJILANI, Dominique HENRY, Ahmad EL SAYED AHMAD, Patrick PONS, Hervé Aubert, LAAS-CNRS, France

MO-A4.4P.2: Identification of Hearing Impaired people in Crowded Environments using Wi-Fi signals

Hira Hameed, University Of Glasgow, United Kingdom; Lubna Lubna, Telecommunication Engineering Dept. UET Peshawar, Pakistan; Muhammmad Usman, University Of Glasgow, United Kingdom; Kamran Arshad, Faculty of Engineering, Ajman University, Ajman 346, UAE, United Arab Emirates; Amir Hussain, School of computing, Edinburgh Napier University, Scotland UK, United Kingdom; Khaled Assaleh, Faculty of Engineering, Ajman University, Ajman 346, UAE, United Arab Emirates; Muhammad Imran, Qammer H.Abbasi, James Watt School of Engineering, University of Glasgow, Glasgow G12 8QQ UK, United Kingdom

MO-A4.4P.3: Evaluation of Methods to Generate Spread Spectrum Time Domain Reflectometry

Cynthia Furse, Samuel Hansen, Evan Benoit, University of Utah, United States; Joel Harley, University of Florida, United States

MO-A4.4P.4: Machine Learning Classification of Snowflakes to Enhance Microphysical and Scattering Characterization of Snow

Hein Thant, Colorado State University, United States; Mikhail Zhizhin, Colorado School of Mines, United States; Branislav Notaros, Colorado State University, United States