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Found 6 papers, 0 papers with code
On the impact of the antenna radiation patterns in passive radio sensing
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-consuming full-wave approach.
Full-wave EM simulation analysis of human body blockage by dense 2D antenna arrays
Recently, proposals of human-sensing-based services for cellular and local area networks have brought indoor localization to the attention of several research groups.
Physics-informed generative neural networks for RF propagation prediction with application to indoor body perception
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.
An EM Body Model for Device-Free Localization with Multiple Antenna Receivers: A First Study
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 their positions and movements.
A physics-informed generative model for passive radio-frequency sensing
Electromagnetic (EM) body models predict the impact of human presence and motions on the Radio-Frequency (RF) stray radiation received by wireless devices nearby.
Electromagnetic Models for Passive Detection and Localization of Multiple Bodies
The paper proposes a multi-body electromagnetic (EM) model for the quantitative evaluation of the influence of multiple human bodies in the surroundings of a radio link.
