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Through-Wall Multiple Targets Vital Signs Tracking Based on VMD Algorithm

机译:基于VMD算法的穿墙多目标生命体征跟踪

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Targets located at the same distance are easily neglected in most through-wall multiple targets detecting applications which use the single-input single-output (SISO) ultra-wideband (UWB) radar system. In this paper, a novel multiple targets vital signs tracking algorithm for through-wall detection using SISO UWB radar has been proposed. Taking advantage of the high-resolution decomposition of the Variational Mode Decomposition (VMD) based algorithm, the respiration signals of different targets can be decomposed into different sub-signals, and then, we can track the time-varying respiration signals accurately when human targets located in the same distance. Intensive evaluation has been conducted to show the effectiveness of our scheme with a 0.15 m thick concrete brick wall. Constant, piecewise-constant and time-varying vital signs could be separated and tracked successfully with the proposed VMD based algorithm for two targets, even up to three targets. For the multiple targets’ vital signs tracking issues like urban search and rescue missions, our algorithm has superior capability in most detection applications.
机译:在使用单输入单输出(SISO)超宽带(UWB)雷达系统的大多数穿墙多目标检测应用中,容易忽略相同距离的目标。本文提出了一种新的多目标生命体征跟踪算法,用于使用SISO UWB雷达的穿墙检测。利用基于变分模式分解(VMD)的算法的高分辨率分解,可以将不同目标的呼吸信号分解为不同的子信号,然后,当人为目标时,我们可以准确地跟踪随时间变化的呼吸信号位于相同的距离。进行了深入评估,以显示我们的方案使用0.15 m厚的混凝土砖墙的有效性。提出的基于VMD的算法可以针对两个目标,甚至三个目标,成功地分离并跟踪恒定,分段恒定和随时间变化的生命体征。对于多个目标的生命体征跟踪问题,例如城市搜索和救援任务,我们的算法在大多数检测应用中均具有出色的功能。

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