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

MO-A4.3P.4

A Statistical Analysis of Feature Transformation for Efficient Localisation in Urban Environments

Azad Shareef, Duhok University, Iraq; Jaspreet Kaur, MUHAMMAD IMRAN, University of Glasgow, United Kingdom; Haithem Mohammed Ali, University of Zakho, Iraq; QAMMER ABBASI, HASAN Abbas, University of Glasgow, United Kingdom

Session:

Electromagnetic Source Localization

Track:

AP-S: Propagation & Scattering

Location:

A 107-109 (OCC)

Session Time:

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

Presentation Time:

Mon, 24 Jul, 14:20 - 14:40 PDT (UTC -7)

Session Co-Chairs:

Qammer Abbasi, University of Glasgow and Amit Singh, Meta-Antenna Lab

Session MO-A4.3P

MO-A4.3P.1: Locating EMI Sources in Shielding Enclosures Using a Two-Step Source Reconstruction Method

Zi An Wang, Ping Li, Shanghai Jiao Tong University, China

MO-A4.3P.2: Estimation of High-Altitude Electromagnetic Pulse Coupling onto Power Generation Facility Equipment

DaHan Liao, Oak Ridge National Laboratory, United States; Yilu Liu, University of Tennessee, United States; Lawrence Markel, Benjamin McConnell, Oak Ridge National Laboratory, United States; David Mignardot, University of Tennessee, United States; Brian Poole, Lisa Wang, Lawrence Livermore National Laboratory, United States

MO-A4.3P.3: Data Collection in Ducting Conditions for Emitter Localization with a Single Receiver

Patrick Bidigare, Dan Chang, Ilana Heintz, Charlie Obranovich, David Raeman, Synoptic Engineering, United States

MO-A4.3P.4: A Statistical Analysis of Feature Transformation for Efficient Localisation in Urban Environments

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

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

A Statistical Analysis of Feature Transformation for Efficient Localisation in Urban Environments