High dynamic range DC coupled CW Doppler radar for accurate respiration characterization and identification
High dynamic range DC coupled CW Doppler radar for accurate respiration characterization and identification
复制标题
高动态范围直流耦合连续波多普勒雷达可实现精确的呼吸表征和识别
DOI：
10.1109/arftg.2017.8000828
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发表时间：
2017
期刊：
影响因子：
--
通讯作者：
O. Boric
中科院分区：
文献类型：
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作者：
Ashikur Rahman;V. Lubecke;E. Yavari;Xiaomeng Gao;O. Boric
准确的呼吸雷达特征可以进行睡眠诊断和唯一识别。为了进行这种表征和分类，需要一个具有高信噪比的低失真直流耦合系统。这对于小信号尤其重要，例如信噪比(SNR)较低的穿透壁测量。本文提出了一种通过直流偏置管理和放大呼吸周期波形分数的方法来提高信噪比的技术。实验结果表明，该算法的增益提高了195，而复杂度分析技术在唯一识别中的误差降低了42%。墙后人体对象的独特识别具有许多潜在的应用，如安全、健康监测、物联网应用和虚拟现实，这项技术也可以惠及呼吸健康诊断应用。
Accurate radar characterization of respiration can allow sleep diagnostics, and unique identification. A low distortion DC coupled system with high signal to noise ratio is required for such characterization and classification. This is especially critical with small signals as with through wall measurements with poor signal to noise ratio (SNR). This paper proposes a technique to improve signal to noise ratio by DC offset management and using the method of zooming in the fractions of the respiratory cycle waveform. Experimental results show a gain increment of 195 and 42% reduction of error in unique identification by complexity analysis techniques. Unique identification of human subjects behind walls has many potential applications such as, security, health monitoring, IoT applications, and virtual reality, and this technique can also benefit respiratory health diagnostics applications.