Sacco Giulia, Mercuri Marco, Hornung Rainer, Visser Huib, Lorato Ilde, Pisa Stefano, Dolmans Guido
Institut d'Électronique et des Technologies du numéRique (IETR), University of Rennes, UMR CNRS 6164, 35000, Rennes, France.
Dipartimento di Informatica, Modellistica, Elettronica e Sistemistica (DIMES), University of Calabria, 87036, Rende, CS, Italy.
Sci Rep. 2023 Oct 4;13(1):16701. doi: 10.1038/s41598-023-41541-3.
The contextual non-invasive monitoring and tracking of multiple human targets for health and surveillance purposes is an increasingly investigated application. Radars are good candidates, since they are able to remotely monitor people without raising privacy concerns. However, radar systems are typically based on complex architectures involving multiple channels and antennas, such as multiple-input and multiple-output (MIMO) or electronic beam scanning, resulting also in a high power consumption. In contrast with existing technologies, this paper proposes a single-input and single-output (SISO) frequency-modulated continuous wave (FMCW) radar in combination with frequency scanning antennas for tracking multiple subjects in indoor environments. A data processing method is also presented for angular separation and clutter removal. The system was successfully tested in five realistic indoor scenarios involving paired subjects, which were either static or moving along predefined paths varying their range and angular position. In all scenarios, the radar was able to track the targets, reporting a maximum mean absolute error (MAE) of 20 cm and 5.64[Formula: see text] in range and angle, respectively. Practical applications arise for ambient assisted living, telemedicine, smart building applications and surveillance.
出于健康监测和安全监控目的,对多个人类目标进行上下文感知的非侵入式监测与跟踪是一个越来越受到研究的应用领域。雷达是很好的选择,因为它们能够在不引发隐私问题的情况下对人员进行远程监测。然而,雷达系统通常基于涉及多个通道和天线的复杂架构,如多输入多输出(MIMO)或电子波束扫描,这也导致了高功耗。与现有技术不同,本文提出了一种单输入单输出(SISO)调频连续波(FMCW)雷达,并结合频率扫描天线,用于在室内环境中跟踪多个目标。还提出了一种用于角度分离和杂波去除的数据处理方法。该系统在五个涉及成对目标的实际室内场景中成功进行了测试,这些目标要么静止,要么沿着预定义路径移动,改变其距离和角度位置。在所有场景中,雷达都能够跟踪目标,在距离和角度上的最大平均绝对误差(MAE)分别为20厘米和5.64[公式:见正文]。该技术在环境辅助生活、远程医疗、智能建筑应用和监控等领域具有实际应用价值。