Software-Defined Doppler Radar Sensor for Human Breathing Detection

Author:

Costanzo SandraORCID

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.

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

Cited by 25 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Contactless Breathing Pattern Recognition System Using Deep Learning and WiFi Signal;IEEE Internet of Things Journal;2024-07-01

2. Recent Trends in Human Breathing Detection Using Radar, WiFi and Acoustics;2023 6th International Conference on Recent Trends in Advance Computing (ICRTAC);2023-12-14

3. Analysis of Near-Field Bessel Beam Focused Arrays with Random Perturbations for Biomedical Applications;2023 24th International Conference on Applied Electromagnetics and Communications (ICECOM);2023-09-27

4. Statistical Tolerance Analysis of Biomedical Near-Field Focused Antenna Arrays;2023 24th International Conference on Applied Electromagnetics and Communications (ICECOM);2023-09-27

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