10 citations · 26 across the 11 of their papers we have counts for
11 papers
EM Informed Holographic Imaging via Unrolled Deep Networks
Federica Fieramosca, Alexander Paulus, Richard Oliveira +1
Smart Radio Environments (SREs) are a foundational paradigm for the Internet of Everything (IoE), in which dense, phase-coherent antenna arrays form a shared infrastructure for int…
A Body-of-Revolution Human Model for RF Sensing with Measurement-Driven Calibration for Indoor Environments
Haoqing Wen, Michele D'Amico, Matteo Oldoni +5
Model training for Device-Free Localization (DFL) and Radio-Frequency (RF) sensing systems heavily relies on large-scale datasets, which are costly and time-consuming to obtain thr…
Fast Full-Wave Simulation of Indoor RSS Maps for Pre-Measurement Validation in Device-Free Localization
Federica Fieramosca, Anastasia Maiolli, Alexander H. Paulus +2
Human localization is gaining momentum in security, healthcare, logistics, and smart spaces applications. While global navigation systems are unreliable indoor, device-free (a.k.a.…
Efficient 2.5-D FEM-Based Scattering Analysis of the Human Body for RF Sensing
Haoqing Wen, Michele D'Amico, Matteo Oldoni +5
Model training for Device-Free Localization (DFL) and Radio-Frequency (RF) sensing heavily relies on large-scale datasets, which are difficult, expensive, and time-consuming to obt…
RF sensing with dense IoT network graphs: An EM-informed analysis
Federica Fieramosca, Vittorio Rampa, Michele D'Amico +1
Radio Frequency (RF) sensing is attracting interest in research, standardization, and industry, especially for its potential in Internet of Things (IoT) applications. By leveraging…
Device-Free Localization with Multiple Antenna Receivers: Simulations and Results
Vittorio Rampa, Federica Fieramosca, Stefano Savazzi +1
Device-Free Localization (DFL) is a passive radio method able to detect, estimate, and localize targets (e.g., human or other obstacles) that do not need to carry any electronic de…