Direction of Arrival Estimation of Physiological Signals of Multiple Subjects Using Phase Comparison Monopulse Radar
Direction of Arrival Estimation of Physiological Signals of Multiple Subjects Using Phase Comparison Monopulse Radar
复制标题
利用相位比较单脉冲雷达估计多个受试者生理信号的到达方向
DOI：
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发表时间：
2018
期刊：
影响因子：
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通讯作者：
O. Boric
中科院分区：
文献类型：
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作者：
S. M. Islam;E. Yavari;Ashikur Rahman;V. Lubecke;O. Boric
虽然使用微波多普勒雷达的非接触式呼吸监测在过去四十年中显示出巨大的前景，但当多个受试者处于视野中时，一个受试者的隔离仍然是一个挑战。在本文中，我们采用了新的，成本效益和可扩展的方法来估计到达方向（DOA）分离间隔良好的多个主题，通过引入一个24 GHz的相位比较单脉冲雷达在我们的系统。实验结果表明，相位比较技术可以在距离传感器3m处分离出两个相距1.5m的目标，并可以估计出单个目标相对于雷达的角位置。它还表明，相位比较技术是计算速度更快，需要更少的快照或样本比公认的MUSIC算法。我们的实验结果也表明，单脉冲技术的多目标测量的估计精度接近80%。本文证明了使用相位比较单脉冲技术的有效性，分离良好的间隔的主题的基础上估计的角度的生理信号，这将导致实际采用这种技术在我们的日常生活中。
While non-contact respiration monitoring using microwave Doppler radar has shown great promises over the last four decades, the isolation of one subject when multiple subjects are in view remains a challenge. In this paper, we employed anew, cost effective and scalable approach for estimating Direction of Arrival (DOA) to separate well-spaced multiple subjects by introducing a 24-GHz phase comparison monopulse radar in our system. Experimental results demonstrated that phase comparison technique can separate two subjects 1.5 meters apart from each other at a distance of 3 meters from the sensor and it can estimate the angular position of single subject with respect to the radar. It also illustrates that the phase-comparison technique is computationally faster and requires fewer snapshots or samples than the well-established MUSIC algorithm. Our experimental results also demonstrate that the monopulse technique for multiple subject measurement has estimation accuracy of almost 80%. This paper demonstrates the efficacy of using a phase-comparison monopulse technique to separate well-spaced subjects based on estimation of the angle of physiological signals, which will lead to practical adoption of this technology in our daily life.