Noncontact respiration monitoring of multiple closely positioned patients using ultra-wideband array radar with adaptive beamforming technique
Noncontact respiration monitoring of multiple closely positioned patients using ultra-wideband array radar with adaptive beamforming technique
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DOI：
10.1109/icassp.2017.7952330
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发表时间：
2017-03
期刊：
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通讯作者：
Masashi Muragaki;Shigeaki Okumura;Katsutoshi Maehara;T. Sakamoto;Mototaka Yoshioka;K. Inoue;T. Fukuda;H. Sakai;Toru Sato
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文献类型：
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作者：
Masashi Muragaki;Shigeaki Okumura;Katsutoshi Maehara;T. Sakamoto;Mototaka Yoshioka;K. Inoue;T. Fukuda;H. Sakai;Toru Sato
使用多普勒雷达的非接触式呼吸监测是用于医疗保健应用的重要技术。雷达测量身体表面的微小位移。在这项研究中，我们提出了一种新的算法来分离多个目标放置在同一范围内，但在不同的横向位置，使用超宽带阵列雷达和Capon方法。Capon方法是一种自适应波束形成技术，它假设到达回波不相关.然而，来自人体的回波应该是相关的，这降低了系统性能。我们通过引入两个不同的对角加载因子值来进行到达方向估计和权重向量计算，从而提高了性能。在实验研究中，所提出的方法分离的回声从两个病人间隔在一个横向距离约70毫米。估计的位移误差时，使用所提出的方法是小于0.13毫米，而传统的方法是2.7毫米。
Contactless respiration monitoring using Doppler radar is an important technology for healthcare applications. The radar measures small displacements of the body surface. In this study, we propose a new algorithm to separate multiple targets placed closely together at the same range but at different lateral positions using ultra-wideband array radar and the Capon method. The Capon method, which is an adaptive beamforming - technique, assumes that arrival echoes are not correlated. However, echoes from the human body should be correlated and this reduces system performance. We improve the performance - by introducing two different diagonal loading factor values for direction of arrival estimation and weight vector calculation. In an experimental study, the proposed method separates the echoes from two patients spaced at a lateral distance of approximately 70 mm. The estimated displacement error when using the proposed method is less than 0.13 mm, while that of the conventional method is 2.7 mm.