In this letter, a simplified human body model based on the scalar diffraction theory is proposed. It allows to evaluatethe effects of a moving person on the propagation of radio signalsoriginated from a communication network deployed close by. This novel model overcomes the limitations due to size and position constraints usually employed for static knife-edge representations with paraxial approximation, without introducing the complexity of a complete electromagnetic (EM) body simulation. The model is experimentally validated and quantifies the effects of position, size, orientation and small movements of a human body on the received radio signal. It also evaluates the impact of source polarization. Finally, the model results are compared against full EM simulations.

EM Models for Passive Body Occupancy Inference

Rampa V;Savazzi S;
2017

Abstract

In this letter, a simplified human body model based on the scalar diffraction theory is proposed. It allows to evaluatethe effects of a moving person on the propagation of radio signalsoriginated from a communication network deployed close by. This novel model overcomes the limitations due to size and position constraints usually employed for static knife-edge representations with paraxial approximation, without introducing the complexity of a complete electromagnetic (EM) body simulation. The model is experimentally validated and quantifies the effects of position, size, orientation and small movements of a human body on the received radio signal. It also evaluates the impact of source polarization. Finally, the model results are compared against full EM simulations.
2017
Istituto di Elettronica e di Ingegneria dell'Informazione e delle Telecomunicazioni - IEIIT
Electromagnetic diffraction
Radio propagation
Wireless Sensor Networks.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/337992
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