10 citations · 26 across the 11 of their papers we have counts for
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Unrolled RF Holographic Imaging: Structured Sparsity and Low-Rank EM Model Adaptation
Federica Fieramosca, Alexander Paulus, Richard Oliveira +1
Radio-Frequency (RF) holographic imaging reconstructs a volumetric map of the permittivity contrast from phase-coherent samples of the scattered electromagnetic (EM) field. The res…
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…
On the impact of the antenna radiation patterns in passive radio sensing
Federica Fieramosca, Vittorio Rampa, Stefano Savazzi +1
Electromagnetic (EM) body models based on the scalar diffraction theory allow to predict the impact of subject motions on the radio propagation channel without requiring a time-con…
Full-wave EM simulation analysis of human body blockage by dense 2D antenna arrays
Federica Fieramosca, Vittorio Rampa, Michele D'Amico +1
Recently, proposals of human-sensing-based services for cellular and local area networks have brought indoor localization to the attention of several research groups. In response t…
Physics-informed generative neural networks for RF propagation prediction with application to indoor body perception
Federica Fieramosca, Vittorio Rampa, Michele D'Amico +1
Electromagnetic (EM) body models designed to predict Radio-Frequency (RF) propagation are time-consuming methods which prevent their adoption in strict real-time computational imag…
An EM Body Model for Device-Free Localization with Multiple Antenna Receivers: A First Study
Vittorio Rampa, Federica Fieramosca, Stefano Savazzi +1
Device-Free Localization (DFL) employs passive radio techniques capable to detect and locate people without imposing them to wear any electronic device. By exploiting the Integrate…
A physics-informed generative model for passive radio-frequency sensing
Stefano Savazzi, Federica Fieramosca, Sanaz Kianoush +2
Electromagnetic (EM) body models predict the impact of human presence and motions on the Radio-Frequency (RF) stray radiation received by wireless devices nearby. These wireless de…