基于改进弧弦近似解调的无线生命体征检测

Qinyi Lv, Congqi Cao, Deyun Zhou
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引用次数: 0

摘要

非接触式生命体征检测是近年来研究的热点。除了在频域进行心率、呼吸频率等运动检测外,多普勒雷达传感器还可以在时域获取生命体征,从而获得更详细的信息。为了克服传统相位解调需要寻找直流偏移量才能精确检测的缺点,提出了改进的弧线近似方法,避免了线性解调结果的复杂和不稳定。采用向量相位均值法(MVP)创新地实现了弧线逼近中关键的拟合步骤。本文通过理论和数值仿真验证了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Wireless Vital-sign Detection Based on Improved Arc-Chord Approximation Demodulation
It's a hot topic to detect vital-sign in a non-contact approach. Apart from the motion detection on frequency-domain such as heartbeat rate and respiration rate, Doppler Radar sensors can be utilized to obtain the vital-sign in the time-domain to get more detailed information. To overcome the drawbacks of traditional phase demodulation which has to find direct current (DC) offsets for accurate detection, we propose the improved arc-chord approximation approach to avoid the complex and unstable result in linear demodulation. The crucial fitting procedure in the arc-chord approximation is innovatively implemented by the mean of vector phase (MVP) method. Both theory and numerical simulation are conducted in this paper to show the effectiveness of our method.
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