VitalFR3：上中频段（FR3）中的无线生命体征感知
VitalFR3: Wireless Vital Sign Sensing in the Upper Mid-Band (FR3)
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中文总结 AI 辅助
VitalFR3是一个基于SDR的FMCW测量平台，经校准后在FR3频段（10-22.5 GHz）实现了低误差的呼吸与心率估计，验证了该频段用于6G ISAC生理感知的可行性。
中文摘要 AI 辅助
频率范围3（FR3）正被探索用于第六代（6G）集成感知与通信（ISAC）。然而，关于该频段生理感知可行性的实验证据有限。本文提出了VitalFR3，一个基于软件定义无线电（SDR）的调频连续波（FMCW）测量平台，该平台集成了直接采样的Ettus USRP X440与SignalCraft SC2470频率转换器。据我们所知，这是首个经过校准的、基于SDR的FMCW平台，用于在多个FR3中心频率下从人体测量中评估呼吸率和心率估计。使用100 MHz波形，我们在从10 GHz到22.5 GHz的六个射频中心频率下运行该平台。我们展示了如何直接从环回记录中表征和校准完整的VitalFR3发射和接收路径，在所有六个频率下实现了低于0.061 dB的幅度误差。随后，我们提出了一种用于生命体征估计的低复杂度端到端处理流程。这包括在快时间内识别持续的目标相关响应，在慢时间内进行呼吸跟踪，随后进行心率估计。该系统在16次人体测量中进行了评估，实现了呼吸率平均绝对误差为每分钟0.758次呼吸，且大多数心率估计值在其参考值的5 BPM以内。在另一次单独的屏气测量中，估计心率为84.3 BPM，而参考值约为84.5 BPM。这些结果确立了VitalFR3作为跨FR3实验性生理感知的校准且可配置的测量平台。
英文摘要
Frequency range 3 (FR3) is being explored for sixth-generation (6G) integrated sensing and communication (ISAC).However, experimental evidence on the feasibility of physiological sensing in this band is limited. This paper presents VitalFR3, an SDR-based frequency-modulated continuous-wave (FMCW) measurement platform that integrates a direct-sampling Ettus USRP X440 with a SignalCraft SC2470 frequency converter. To the best of our knowledge, this is the first calibrated SDRbased FMCW platform evaluated for respiration and cardiac-rate estimation from human measurements across multiple FR3center frequencies. Using a 100 MHz waveform, we operate the platform at six RF center frequencies from 10 to 22.5 GHz.We demonstrate how to characterize and calibrate the completeVitalFR3 transmit and receive path directly from loopback recordings, achieving a magnitude error below 0.061 dB at all six frequencies. We then propose a low-complexity end-to-end processing pipeline for vital sign estimation. This involves the identification of a persistent target-associated response in fast time, respiratory tracking in slow time, followed by cardiac- rate estimation. The system is evaluated across 16 human measurements, achieving a respiratory-rate mean absolute error of 0.758 breaths per minute, and the majority of the cardiac- rate estimates fall within 5 BPM of their reference rates. In a separate breath-hold measurement, the estimated cardiac rate is 84.3 BPM versus approximately 84.5 BPM from the reference. These results establish VitalFR3 as a calibrated and configurable measurement platform for experimental physiological sensing across FR3.
发表机构
- Dept. of Electrical and Software Engineering, WAVES LAB, University of Calgary（卡尔加里大学电气与软件工程系、WAVES实验室）
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