Non-contact Vital Signs Detection in Dynamic Environments

• URL: http://arxiv.org/abs/2505.08366v1
• Date: Tue, 13 May 2025 09:11:48 GMT
• Title: Non-contact Vital Signs Detection in Dynamic Environments
• Authors: Shuai Sun, Chong-Xi Liang, Chengwei Ye, Huanzhen Zhang, Kangsheng Wang,
• Abstract summary: We propose a novel DC offset calibration method alongside a Hilbert and Differential Cross-Multiply (HADCM) demodulation algorithm.<n>The approach estimates time-varying DC offsets from neighboring signal peaks and valleys, then employs both differential forms and Hilbert transforms of the I/Q channel signals to extract vital sign information.
• Score: 0.61915796293339
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Accurate phase demodulation is critical for vital sign detection using millimeter-wave radar. However, in complex environments, time-varying DC offsets and phase imbalances can severely degrade demodulation performance. To address this, we propose a novel DC offset calibration method alongside a Hilbert and Differential Cross-Multiply (HADCM) demodulation algorithm. The approach estimates time-varying DC offsets from neighboring signal peaks and valleys, then employs both differential forms and Hilbert transforms of the I/Q channel signals to extract vital sign information. Simulation and experimental results demonstrate that the proposed method maintains robust performance under low signal-to-noise ratios. Compared to existing demodulation techniques, it offers more accurate signal recovery in challenging scenarios and effectively suppresses noise interference.

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