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Detection and identification of substances using noisy THz signal

机译:使用噪声THz信号检测和识别物质

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We discuss an effective method for the detection and identification of substances using a high noisy THz signal. In order to model such a noisy signal, we add to the THz signal transmitted through a pure substance, a noisy THz signal obtained in real conditions at a long distance (more than 3.5 m) from the receiver in air. The insufficiency of the standard THz-TDS method is demonstrated. The method discussed in the paper is based on time-dependent integral correlation criteria calculated using spectral dynamics of medium response. A new type of the integral correlation criterion, which is less dependent on spectral characteristics of the noisy signal under investigation, is used for the substance identification. To demonstrate the possibilities of the integral correlation criteria in real experiment, they are applied for the identification of explosive HMX in the reflection mode. To explain the physical mechanism for the false absorption frequencies appearance in the signal we make a computer simulation using 1D Maxwell's equations and density matrix formalism. We propose also new method for the substance identification by using the THz pulse frequency up-conversion and discuss an application of the cascade mechanism of molecules high energy levels excitation for the substance identification.
机译:我们将讨论使用高噪声的THz信号的检测和的物质识别的有效方法。为了这样的噪声的信号进行建模,我们添加到通过纯物质,在从在空气中的接收器的长距离(大于3.5米)在真实条件下获得的有噪声的THz信号传输的THz信号。标准的THz-TDS方法的不足是证明。在本文所讨论的方法是基于使用介质响应的谱动力学计算与时间相关的积分相关的标准。一种新型的积分相关准则,这是较少依赖于所研究的噪声的信号的频谱特性,被用于物质识别。为了证明在实际实验中的积分相关标准的可能性,它们适用于在反射模式的识别爆炸性HMX的。来解释在信号中的虚假吸收频率的外表,我们使用1D麦克斯韦方程和密度矩阵形式主义的计算机模拟的物理机制。我们还提出一种用于物质识别新方法通过使用太赫兹脉冲频率上变频和讨论分子高能级激发的物质识别的级联机制的应用。

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