Concurrent Respiration Monitoring of Multiple Subjects by Phase-Comparison Monopulse Radar Using Independent Component Analysis (ICA) With JADE Algorithm and Direction of Arrival (DOA)
Concurrent Respiration Monitoring of Multiple Subjects by Phase-Comparison Monopulse Radar Using Independent Component Analysis (ICA) With JADE Algorithm and Direction of Arrival (DOA)
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DOI：
10.1109/access.2020.2988038
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发表时间：
2020-01-01
期刊：
影响因子：
3.9
通讯作者：
Lubekce, Victor M.
中科院分区：
文献类型：
--
作者：
Islam, Shekh M. M.;Boric-Lubecke, Olga;Lubekce, Victor M.
虽然使用多普勒雷达对人体呼吸进行非接触监测已经得到证实，但同时监测多个等距受试者仍然是一个重大的技术挑战。迄今为止所报道的研究仅限于根据雷达天线波束宽度保持1米的目标距离。本文提出了一种基于信噪比的智能决策算法的混合方法，该算法集成了两种不同的方法来分离雷达波束宽度小于1米的两个受试者的呼吸特征。采用独立分量分析JADE算法（ICA-JADE）和到达方向（DOA），基于信噪比的决策算法精度在93 & x0025以上。此外，通过相位比较单脉冲估计每个受试者的角度位置，并展示了集成波束切换能力，以最佳地提取呼吸信息。所提出的方法将两种分离方法连贯地结合起来，克服了多主体监测的限制，这可以导致许多呼吸监测应用的实际采用。
While non-contact monitoring of human respiration has been demonstrated using Doppler radar, the concurrent monitoring of multiple equidistant subjects remains a significant technological challenge. Reported research has so far been limited to maintaining 1-m subject separation, based on the radar antenna beam-width. Proposed here is a hybrid method consisting of an SNR-based intelligent decision algorithm which integrates two different approaches to isolate respiratory signatures of two subjects within the radar beam-width separated by less than 1 meter. Using Independent Component Analysis with the JADE algorithm (ICA-JADE) and Direction of Arrival (DOA), this SNR-based decision algorithm works with an accuracy above 93 & x0025;. In addition, angular location of each subject is estimated by phase-comparison monopulse and an integrated beam switching capability is demonstrated to optimally extract respiratory information. The proposed method coherently combines two separation methods to overcome multiple-subject monitoring limits which can lead to practical adoption for many respiration monitoring applications.