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Proceedings Paper

Identification of explosive using the spectrum dynamics of reflected THz and GHz radiation
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Paper Abstract

The method of THz spectrum dynamics analysis (SDA - Spectral dynamics analysis - method) is applied for the detection and identification of substances by using the signal reflected from sample. It allows to obtain the spectrogram - composite Fourier spectrum dynamics - of the signal and to analyze the dynamics of many spectral lines simultaneously, even if the measurements are made on short time interval (less than 50 ps). The efficiency of the SDA method used for longer time intervals (more than 100 ps) is discussed also. The Fourier-Gabor sliding window method is used for obtaining the spectrogram. We consider the examples of finding selected explosives and harmless materials in pellets by using a THz pulse reflected from them. A THz pulse with a few cycles falls on the sample and reflects from it. The receiver makes the discrete measurements of electric field strength of signal reflected from the sample. To restore the signal to the required accuracy the SVD - Single Value Decomposition - technique is used. Our investigations show that the spectrograms and dynamics of several spectral lines of the THz pulse reflected differ from the corresponding spectrograms and dynamics of spectral lines for the reference pulse and hence it is possible to detect the presence of the material in the sample of interest. The efficiency of using the SDA method for identification of a substance by a THz pulse reflected from the sample is discussed and a comparison with an efficiency of applying the SDA method for the identification of substance by analysis of the pulse transmitted through the sample.

Paper Details

Date Published: 12 October 2010
PDF: 12 pages
Proc. SPIE 7837, Millimetre Wave and Terahertz Sensors and Technology III, 78370G (12 October 2010); doi: 10.1117/12.864873
Show Author Affiliations
Vyacheslav A. Trofimov, Lomonosov Moscow State Univ. (Russian Federation)
Svetlana A. Varentsova, Lomonosov Moscow State Univ. (Russian Federation)
Jian Chen, Portland State Univ. (United States)


Published in SPIE Proceedings Vol. 7837:
Millimetre Wave and Terahertz Sensors and Technology III
Keith A. Krapels; Neil A. Salmon, Editor(s)

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