Identification of explosive media using spectrum dynamics under the action of a THz pulse

Trofimov, Vyacheslav A.; Varentsova, Svetlana A.; Chen, Jian; Zhang, Xicheng

doi:10.1117/12.830162

Cited by 11 publications

(15 citation statements)

References 17 publications

(37 reference statements)

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“…For example, some dangerous materials have similar THz Fourier spectra with spectra of ordinary harmless materials such as soap, chocolate, leather or sugar [6][7][8][9], or their spectra have not the pronounced absorption characteristics. SDA-method [15][16][17][18][19][20][21][22][23][24][25][26][27][28][29][30] is free from this disadvantage. This method allows to analyze the dynamics of many spectral lines by one set of integral measurements simultaneously and to obtain the spectrogram -the unique 2D THz signature of the substance.…”

Section: Introductionmentioning

confidence: 96%

Efficiency of the detection of explosive using the spectral dynamics analysis of reflected signal

et al. 2011

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We investigate the efficiency of spectral dynamics analysis (SDA) method for the detection of both explosives hidden under various substances and explosives in their mixture. The detection occurs using the THz signal reflected from the substance. The main difficulty concludes in multi-reflection of THz wave from the substance, in which the explosive is packed. Our investigation shows that because of their structure these substances can be opaque for THz radiation at certain frequencies. Nevertheless, this question requires additional investigation.The action of the THz pulse, inclined at various angles to the sample surface, on substance is analyzed. It should be stressed that at inclined falling of THz wave, one can get more information about explosive in comparison with the case of normal falling of THz wave. As a result, the growth of the detection probability takes place.New features demonstrate the mixture of explosives. Under certain conditions on concentrations of substances in the mixture, the compound substance displays own properties not as mechanical combination of properties of initial substances during the time interval of action the main THz pulse. For the detection and identification in this case, one needs to use the long time interval signal from the substance. Other requirement consists in inclined falling of THz pulse to detect and identify the explosive.

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Section: Introductionmentioning

confidence: 96%

Efficiency of the detection of explosive using the spectral dynamics analysis of reflected signal

et al. 2011

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“…The SDA method has been shown to be highly effective for the detection and identification of a substance when the THz pulse transmitted through a medium [15][16][17][18][19][20][21][22][23]. In [24] we have applied this method in the case of the reflected signal from RDX.…”

Section: Identification Of Explosive Rdxmentioning

confidence: 97%

“…In this paper we have applied the SDA method for the identification Therefore, below we confine ourselves to mentioning just some results from the paper and discuss the comparison of the Fourier spectrum of the substance with the corresponding spectrum calculated on the base of using an autocorrelation function (AC-function) for obtaining the spectrum (we name this spectrum as AC-spectrum). For comparison of efficiency of the identification we will refer to some results of [20,23] also. In [20,23] we have applied the SDA method for the identification of the explosive when analyzed by a THz pulse transmitted through the substance.…”

Section: Identification Of Substancesmentioning

confidence: 99%

“…For comparison of efficiency of the identification we will refer to some results of [20,23] also. In [20,23] we have applied the SDA method for the identification of the explosive when analyzed by a THz pulse transmitted through the substance. This method shows its high efficiency even for the identification of substances with similar spectra.…”

Section: Identification Of Substancesmentioning

confidence: 99%

“…This causes difficulties for reliable identification and the identification of substances based only on analysis of the absorption spectrum of the THz radiation transmitted through the substance can be very difficult or impossible at all in some cases. The method of spectral dynamics analysis (SDA method) [15][16][17][18][19][20][21][22][23][24] does not have this disadvantage. It allows the analysis of the dynamics of many spectral lines and to obtain a spectrogram -the unique 2D THz signature of the substance.…”

Section: Introductionmentioning

confidence: 99%

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2D THz and GHz signature for identification of explosive on reflected THz signal

2010

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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 spectrogramcomposite 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 the pure RDX and harmless materials (L-Tartaric Acid, Sucrose, PTFE) or their mixture 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 under certain conditions and hence it is possible to detect the presence of the material in the sample of interest. The comparison of the Fourier spectrum of the substance with the corresponding spectrum calculated on the base of using an autocorrelation function for obtaining the spectrum shows that the AC-spectrum gives us essential less information about substance.From our consideration follows that in some cases the analysis of reflected signal on the short time interval (less than 50 ps) is insufficient for the reliable identification. It is necessary to analyze the response on the long time interval (about 300 -400 ps). The analysis of spectrogram and spectral lines dynamics on the long time intervals gives the additional information about registering sub-pulses, which are appeared due to multi-reflection of THz wave from the boundaries of sample and from the reflecting elements of set-up, and relaxation times of excited energy levels of molecules. Hence, the reliability of identification increases.

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Detection of Explosives Under Covering Soap Using THz Spectral Dynamics Analysis

Trofimov

Varentsova

2011

NATO Science for Peace and Security Series B: Physics and Biophysics

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Identification of explosive media using spectrum dynamics under the action of a THz pulse

Cited by 11 publications

References 17 publications

Efficiency of the detection of explosive using the spectral dynamics analysis of reflected signal

Efficiency of the detection of explosive using the spectral dynamics analysis of reflected signal

2D THz and GHz signature for identification of explosive on reflected THz signal

Detection of Explosives Under Covering Soap Using THz Spectral Dynamics Analysis

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