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Software-Defined Doppler Radar Sensor for Human Breathing Detection

DIMES, Università della Calabria, 87036 Rende, Italy
Sensors 2019, 19(14), 3085; https://doi.org/10.3390/s19143085
Received: 8 June 2019 / Revised: 9 July 2019 / Accepted: 10 July 2019 / Published: 12 July 2019
(This article belongs to the Special Issue Microwave Sensors for Biomedical Applications)
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Abstract

Non-contact wireless sensing approaches have emerged in recent years, in order to enable novel enhanced developments in the framework of healthcare and biomedical scenarios. One of these technologically advanced solutions is given by software-defined radar platforms, a low-cost radar implementation, where all operations are implemented and easily changed via software. In the present paper, a software-defined radar implementation with Doppler elaboration features is presented, to be applied for the non-contact monitoring of human respiration signals. A quadrature receiver I/Q (In-phase/Quadrature) architecture is adopted in order to overcome the critical issues related to the occurrences of null detection points, while the phase-locked loop components included in the software defined radio transceiver are successfully exploited to guarantee the phase correlation between I/Q signal components. The proposed approach leads to a compact, low-cost, and flexible radar solution, whose application abilities may be simply changed via software, with no need for hardware modifications. Experimental results on a human target are discussed so as to demonstrate the feasibility of the proposed approach for vital signs detection. View Full-Text
Keywords: microwave sensors; software-defined radar; biomedical applications microwave sensors; software-defined radar; biomedical applications
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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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Costanzo, S. Software-Defined Doppler Radar Sensor for Human Breathing Detection. Sensors 2019, 19, 3085.

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