手持超宽带多普勒雷达的高振幅运动抵消方法

Lingyun Ren, Y. Koo, Yazhou Wang, G. To, M. Mahfouz, A. Fathy
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引用次数: 3

摘要

超宽带多普勒雷达通过探测雷达发射的窄脉冲在人体胸部反射的飞行时间变化,以非接触的方式监测人体的生命体征。然而,如果使用手持超宽带雷达,当存在随机运动时,特别是当运动幅度高于胸部运动时,接收到的信号可能会被破坏。本文提出了一种基于嵌入式系统的随机运动抵消方法,用于恢复真实生命体征,类似于光学相机的图像稳定。该嵌入式系统安装在接收天线上,用于采集运动加速度数据。分析了超宽带系统与嵌入式系统采集的数据之间的相关性,并建立了考虑两者之间时延的有限脉冲响应(FIR)模型。实验表明,运动抵消方法可以准确地恢复受试者的呼吸频率,即使在接受者存在高幅度运动的情况下。
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High-amplitude motion cancellation method for handheld UWB Doppler radar
UWB Doppler radar is capable of monitoring vital signs of human beings in a non-contact way by detecting the changes in the time of flight of narrow pulses emitted by the radar and reflected from the human chest. However, the received signal may be corrupted when there is a random motion if handheld UWB radar is used, especially when the amplitude of motion is higher than that of the thoracic motion. In this paper, a random motion cancellation method using an embedded system is proposed for recovering the real vital signs similar to image stabilization in optical cameras. The proposed embedded system is attached to the receiving antenna and used to collect the data of motion acceleration. The correlation between the data collected by the UWB system and embedded system is analyzed and a Finite Impulse Response (FIR) model considering the time delay between these two systems is developed as well. Experiments show that the respiration rate of a subject can be accurately recovered by motion cancellation method even in the presence of a high-amplitude motion of the receiver.
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