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Efficient living subject localization and weak vital-sign signal enhancement using impulse radio based UWB radar

机译:利用基于脉冲无线电UWB雷达的高效生活主体定位和弱生命标志信号增强

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In recent years, with the help of Ultra-wideband (UWB) radar, contactless measurement of vital signs become possible. This type of radar has sufficient range accuracy for micro-motion such as chest displacement or belly displacement. However, ambient clutter is strong in some scenarios such as a vehicle cabin so that a vital sign of living subject could be obscured and hard to extract. In addition, for multi-person vital signs detection, the sign of people sitting further away from the radar could become weaker due to the strong signal reflected by people in front. This paper describes an efficient way of a vital sign signal localization and a cross-correlation based method to enhance vital signs. The localization method proposed a threshold-based searching method to reduce searching range and save computational power for localization computation. The purpose of vital signs enhancement is 1) to make the weak vital sign signal observable and 2) to increase the signal-to-noise ratio (SNR) of a living subject sitting in at some distance for better localization and vital sign signal extraction accuracy. The enhancement algorithm is to cross-correlate the adjacent bins of the original signal for vital sign signal amplification. Tests are made with multiple people sitting in indoor space with strong reflected material around to simulate vehicle cabin environment. This method has been proved effective for vital sign enhancement in which the SNR increased by more than 40%. In addition, the speed of localization has increased by more than 20% for the two executed test scenarios.
机译:近年来,在超宽带(UWB)雷达的帮助下,可能的非接触式迹象的测量成为可能。这种类型的雷达具有足够的范围精度,用于微观运动,例如胸部位移或腹部位移。然而,在一些场景中的环境杂乱是强大的,如车厢,以便难以提取生命主体的生命迹象并难以提取。此外,对于多人生命体征检测,由于前面的人们反映的强烈信号,人们坐在远离雷达的人们的迹象可能会变得越来越弱。本文介绍了生命符号信号定位的有效方式和基于互相关的方法,以增强生命体征。本地化方法提出了一种基于阈值的搜索方法,以减少搜索范围并节省用于本地化计算的计算能力。生命体征增强的目的是1)使弱生命标志信号可观察和2)增加一个距离坐在一定距离的生活对象的信噪比(SNR)以获得更好的本地化和生命符号信号提取精度。增强算法是将原始信号的相邻区间交互以进行生命符号信号放大。测试是用坐在室内空间的多人进行测试,以强烈反射材料来模拟车厢环境。已证明该方法对生命符号增强有效,其中SNR增加了40%以上。此外,两个执行的测试场景,本地化的速度增加了20%以上。

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