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Research on Life Sign Sensing Based on EMD-ICA in the Terahertz Region

机译:基于IMD-ICA在太赫兹地区的寿命符号感应研究

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Utilizing terahertz (THz) radar has some advantages in respect of micro-motion sensing owing to its superior Doppler performances. In this paper, a 0.33 THz radar system is introduced and experiments on life sign sensing are presented. In order to lessen the noise, an algorithm based on Empirical Mode Decomposition (EMD) and Independent Component Analysis (ICA) is proposed. A series of intrinsic mode functions (IMFs) ranked by frequency in descending order are obtained by EMD, and ICA is used to separate the blind source in IMFs with modal mixing noises. The results demonstrate the performances of the proposed algorithm.
机译:利用太赫兹(Thz)雷达由于其优越的多普勒表演而言,对微观运动感测具有一些优点。在本文中,引入了0.33 ZHz雷达系统,并提出了终身征兆感测的实验。为了减轻噪声,提出了一种基于经验模式分解(EMD)和独立分量分析(ICA)的算法。通过EMD获得的一系列内在模式功能(IMF)按频率排名为下降顺序,并且ICA用于使用模态混合噪声将IMF中的盲源分离。结果证明了所提出的算法的性能。

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