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Federica Fieramosca - IEEE Xplore Author Profile
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Federica Fieramosca

Publications
7
Citations
17
Publications by Year
20232024
Co-Authors:
Image of author Federica Fieramosca

Federica Fieramosca

Affiliation

DEIB
Politecnico di Milano Piazza Leonardo da Vinci 32
Milano, Italy

Publication Topics

Biography

Federica Fieramosca received the M.Sc. degree in telecommunication engineering (cum laude) from Politecnico di Milano, Milano, Italy, in 2022, where she is currently pursuing the Ph.D. degree in information technology from the Department of Electronics, Information and Bioengineering.,She is currently working in the field of applied electromagnetics, focusing on electromagnetic propagation modeling for integrated sensing and communication.(Based on document published on 30 May 2024).
Publications
7
Citations
17
Publications by Year
20232024
Co-Authors:
Author's Published Works

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Full-wave EM simulation analysis of human body blockage by dense 2D antenna arrays

Federica Fieramosca;Vittorio Rampa;Michele D’Amico;Stefano Savazzi

2024 IEEE-APS Topical Conference on Antennas and Propagation in Wireless Communications (APWC)
Year: 2024 | Conference Paper |
Recently, proposals of human-sensing-based services for cellular and local area networks have brought indoor local-ization to the attention of several research groups. In response to these stimuli, various Device-Free Localization (DFL) techniques, also known as Passive Localization methods, have emerged by exploiting ambient signals to locate and track individuals that do not carry any electronic...Show More

Full-wave EM simulation analysis of human body blockage by dense 2D antenna arrays

Federica Fieramosca;Vittorio Rampa;Michele D’Amico;Stefano Savazzi

Year: 2024 | Conference Paper |

Electromagnetic-Informed Generative Models for Passive RF Sensing and Perception of Body Motions

Stefano Savazzi;Federica Fieramosca;Sanaz Kianoush;Michele D’Amico;Vittorio Rampa

IEEE Open Journal of Antennas and Propagation
Year: 2024 | Volume: 5, Issue: 4 | Journal Article |
Electromagnetic (EM) body models predict the impact of human presence and motions on the Radio-Frequency (RF) field originated from wireless devices nearby. Despite their accuracy, EM models are time-consuming methods which prevent their adoption in strict real-time computational imaging and estimation problems, such as passive localization, RF tomography, and holography. Physicsinformed Generativ...Show More

Electromagnetic-Informed Generative Models for Passive RF Sensing and Perception of Body Motions

Stefano Savazzi;Federica Fieramosca;Sanaz Kianoush;Michele D’Amico;Vittorio Rampa

Year: 2024 | Volume: 5, Issue: 4 | Journal Article |

Physics-Informed Generative Neural Networks for RF Propagation Prediction with Application to Indoor Body Perception

Federica Fieramosca;Vittorio Rampa;Michele D'Amico;Stefano Savazzi

2024 18th European Conference on Antennas and Propagation (EuCAP)
Year: 2024 | Conference Paper |
Cited by: Papers (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 imaging problems, such as human body localization and sensing. Physics-informed Generative Neural Network (GNN) models have been recently proposed to reproduce EM effects, namely to simulate or reconstruct missing data or sa...Show More

Physics-Informed Generative Neural Networks for RF Propagation Prediction with Application to Indoor Body Perception

Federica Fieramosca;Vittorio Rampa;Michele D'Amico;Stefano Savazzi

Year: 2024 | Conference Paper |

On the Impact of the Antenna Radiation Patterns in Passive Radio Sensing

Federica Fieramosca;Vittorio Rampa;Stefano Savazzi;Michele D'Amico

IEEE Antennas and Wireless Propagation Letters
Year: 2024 | Volume: 23, Issue: 2 | Journal Article |
Cited by: Papers (3)
Electromagnetic (EM) body models based on the scalar diffraction theory allow for predicting the impact of subject motions on the radio propagation channel without requiring a time-consuming full-wave approach. On the other hand, they are less effective in complex environments characterized by significant multipath effects. Recently, emerging radio sensing applications have proposed the adoption o...Show More

On the Impact of the Antenna Radiation Patterns in Passive Radio Sensing

Federica Fieramosca;Vittorio Rampa;Stefano Savazzi;Michele D'Amico

Year: 2024 | Volume: 23, Issue: 2 | Journal Article |

An EM Body Model for Device-Free Localization with Multiple Antenna Receivers: A First Study

Vittorio Rampa;Federica Fieramosca;Stefano Savazzi;Michele D'Amico

2023 IEEE-APS Topical Conference on Antennas and Propagation in Wireless Communications (APWC)
Year: 2023 | Conference Paper |
Cited by: Papers (4)
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 Integrated Sensing and Communication paradigm, DFL networks employ Radio Frequency (RF) nodes to measure the excess attenuation introduced by the subjects (i.e., human bodies) moving inside the monitored area, and to estimate the...Show More

An EM Body Model for Device-Free Localization with Multiple Antenna Receivers: A First Study

Vittorio Rampa;Federica Fieramosca;Stefano Savazzi;Michele D'Amico

Year: 2023 | Conference Paper |

A Physics-Informed Generative Model for Passive Radio-Frequency Sensing

Stefano Savazzi;Federica Fieramosca;Sanaz Kianoush;Vittorio Rampa;Michele D'Amico

2023 IEEE-APS Topical Conference on Antennas and Propagation in Wireless Communications (APWC)
Year: 2023 | Conference Paper |
Cited by: Papers (4)
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 devices may be co-located members of a Wireless Local Area Network (WLAN) or even cellular devices connected with a Wide Area Network (WAN). Despite their accuracy, EM models are time-consuming methods which prevent their ...Show More

A Physics-Informed Generative Model for Passive Radio-Frequency Sensing

Stefano Savazzi;Federica Fieramosca;Sanaz Kianoush;Vittorio Rampa;Michele D'Amico

Year: 2023 | Conference Paper |

Modelling of the floor effects in device-free radio localization applications

Federica Fieramosca;Vittorio Rampa;Stefano Savazzi;Michele D’Amico

2023 17th European Conference on Antennas and Propagation (EuCAP)
Year: 2023 | Conference Paper |
Cited by: Papers (5)
Device-free localization (DFL) systems exploit the human-induced perturbations of the electromagnetic (EM) fields as a privacy-preserving sensing tool for passive detection, recognition, localization, and tracking. Without wearing any electronic device, the monitored subjects (targets) modify the EM field (e.g., the Received Signal Strength - RSS) in a way that depends on their location relative t...Show More

Modelling of the floor effects in device-free radio localization applications

Federica Fieramosca;Vittorio Rampa;Stefano Savazzi;Michele D’Amico

Year: 2023 | Conference Paper |

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