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Remote Sens. 2016, 8(8), 621;

Real-Time Through-Wall Situation Awareness Using a Microwave Doppler Radar Sensor

Institute for Electromagnetic Sensing of the Environment, National Research Council of Italy, Via Diocleziano 328, Napoli 80124, Italy
Author to whom correspondence should be addressed.
Academic Editors: Raffaele Persico, Zhong Lu and Prasad S. Thenkabail
Received: 31 May 2016 / Revised: 4 July 2016 / Accepted: 19 July 2016 / Published: 27 July 2016
(This article belongs to the Special Issue Radar Systems for the Societal Challenges)
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This paper deals with the development of a short-range radar suitable for the detection of humans behind visually opaque structures such as building walls. The system consists in a continuous wave Doppler radar operating in the S-band of the electromagnetic spectrum in order to ensure an adequate signal penetration through the walls. Based on the interaction of the electromagnetic waves with human targets, a phase modulation of the radar signal arises due to their movements and tiny periodic chest displacements associated with the respiratory activity. A simple and effective radar data processing algorithm is proposed to detect, in real-time, the presence of one or several human subjects in the through-wall scene. Such an algorithm automatically provides also an indication on whether the subjects are static or moving in the environment. As shown by experimental tests carried out in an indoor scenario, the proposed sensing device and related signal processing yields prompt and reliable information about the scene thus confirming its practical value. View Full-Text
Keywords: CW Doppler radar; humans detection; through-wall sensing CW Doppler radar; humans detection; through-wall sensing

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Gennarelli, G.; Ludeno, G.; Soldovieri, F. Real-Time Through-Wall Situation Awareness Using a Microwave Doppler Radar Sensor. Remote Sens. 2016, 8, 621.

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