Influence of surface of explosive on its detection and identification using the SDA method for analysis of the reflected THz signal

Trofimov, Vyacheslav A.; Varentsova, Svetlana A.; Szustakowski, Mieczysław; Pałka, Norbert

doi:10.1117/12.2015604

Cited by 11 publications

(51 citation statements)

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“…Reflectance (b) demonstrates pronounced minima at frequencies ν=0.96, 1.53, 2.47 THz, which are in a good agreement with [10]. But in [25,26] we showed that the inhomogeneous surface or some opaque cover can significantly distort the spectral properties of the main pulse, after that the identification becomes very difficult.…”

Section: Reflected Rdx Signalsupporting

confidence: 72%

“…In our previous works [25,26] we showed that the only fact of the presence of frequencies close to absorption frequencies of transmitted signal RDX (for example, ν = 0.82 THz) in the spectra of all sub-pulses of the reflected THz signal ( ) S t is insufficient for reliable identification. In order to improve the accuracy of identification, in [25,26] we used the integral correlation between the dynamics of spectral lines for the long reflected signals ( ) S t and the transmitted RDX signal ( ) s t at allocated frequencies.…”

Section: Modified Integral Correlation Criteriamentioning

confidence: 99%

“…In the transmission mode, the SDA-method was successfully applied for the identification of explosives, including those hidden under opaque covers; substances in compound media; the mixture of substances with similar Fourier spectra in GHz and THz ranges of frequencies; drugs [15][16][17][18]. In [19][20][21][22][23][24][25][26] we showed the possibility to apply the SDA method for the detection and identification of substances using the reflected THz signal in various situations. In [23] the integral criteria of probability assessment for the detection and identification of substance were proposed.…”

Section: Introductionmentioning

confidence: 97%

“…These criteria are the modifications of integral criteria that have been studied in [23,25,26]. Note that all measurements of the reflected THz signals were made at short distances of about 30-40cm from the investigated samples.…”

Section: Introductionmentioning

confidence: 99%

“…In [23] the integral criteria of probability assessment for the detection and identification of substance were proposed. In [25] these criteria were applied for the detection of PWM C4 explosive with very complicated surface. In [26] we used these criteria for identification of two mixtures of explosives -Hexogen-Trinitrotoluene-Penthryte (RDX-TNT-PETN) and Hexogen-Trinitrotoluene-Octogen (RDX-TNT-HMX) in the Stand-Off reflection mode.…”

Section: Introductionmentioning

confidence: 99%

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Effective criteria developing for the identification of substance using the reflected THz signal

Trofimov

Varentsova

2014

SPIE Proceedings

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We propose and discuss modified correlation criteria for the detection and identification of dangerous substances using pulsed THz signal in the reflection mode. These criteria are integral criteria in time and they are based on the SDA method. We develop various approaches for enhancement of features of a detecting substance in reflected THz signal under investigation. These criteria are applied for the detection of different explosive situations. Among them we consider a mixture of explosives and PWM C4 explosive with very complicated surface. Proposed algorithms show both high probability of the substance identification and a reliability of realization in practice. We discuss modified correlation criteria for the detection and identification of dangerous substances using pulsed THz signal in the reflection mode.Keywords: reflected THz pulse, method of spectral dynamics analysis, detection and identification of substances, modified integral correlation criterion. *vatro@cs.msu.ru; phone 7 495 939-5255; fax 7 495 939-2597

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Section: Reflected Rdx Signalsupporting

confidence: 72%

Section: Modified Integral Correlation Criteriamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 97%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Effective criteria developing for the identification of substance using the reflected THz signal

Trofimov

Varentsova

2014

SPIE Proceedings

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Possibility of the detection and identification of substance at long distance using the noisy reflected THz pulse under real conditions

2015

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We show possibility of the detection and identification of substance at long distance (several metres, for example) using the THz pulse reflected from the object under the real conditions: at room temperature and humidity of about 70%. The main feature of this report consists in a demonstration of the detection and identification of substance using the computer processing of the noisy THz pulse. Amplitude of the useful signal is less than the amplitude of a noise. Nevertheless, it is possible to detect "fingerprint" frequencies of substance if these frequencies are known and the SDA method is used together with new assessments for probability estimation for presence of detected frequencies. Essential restrictions of the commonly used THz TDS method for the detection and identification under real conditions (at long distance about 3.5 m and at a high relative humidity more than 50%) are demonstrated using the physical experiment with chocolate bar and thick paper bag. We show also that the THz TDS method detects spectral features of dangerous substances even in the THz signals measured in laboratory conditions (at distance 30-40 cm from the receiver and at a low relative humidity less than 2%); the n-Si and p-Si semiconductors were used as neutral substances. However, the integral correlation and likeness criteria, based on SDA method, allow us to detect the absence of dangerous substances in the samples. Current results show feasibility of using the discussed method of the THz pulsed spectroscopy for the counter-terrorism problem.

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Efficiency of using the spectral dynamics analysis for pulsed THz spectroscopy of both explosive and other materials

Trofimov

Varentsova

2015

SPIE Proceedings

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One of the modern problems arising in the detection and identification of substances is a development of criteria for the assessment of a presence of explosive (or other dangerous substance) fingerprints in THz signals transmitted through or reflected from a sample. Obviously, criteria depend on the method used for the substance detection and identification. Taking into account our previous experience, we use for a solution of this problem the SDA method (method of the spectral dynamics analysis). Essential restrictions of usually used THz TDS method for the detection and identification under real conditions (at long distance about 3.5 m and at a high relative humidity more than 50%) are demonstrated using the physical experiment with paper napkins and thick paper bag. We show also that the THz TDS method detects spectral features of dangerous substances even in the THz signals measured in laboratory conditions (at distance 30-40 cm from the receiver and at a low relative humidity less than 2%) with semiconductors of different types used as samples. However, the integral correlation criteria, based on SDA method, allows us to detect the absence of dangerous substances in semiconductors. In order to demonstrate the possibilities of the integral criteria for finding additional substances in the mixture with semiconductors, we modeled several mixtures of n-doped Silicon with neutral substance Soap in different ratio. The discussed algorithms show high probability of the substance identification and a reliability of realization in practice, especially for non-destructive testing and security applications.

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Influence of surface of explosive on its detection and identification using the SDA method for analysis of the reflected THz signal

Cited by 11 publications

References 0 publications

Effective criteria developing for the identification of substance using the reflected THz signal

Effective criteria developing for the identification of substance using the reflected THz signal

Possibility of the detection and identification of substance at long distance using the noisy reflected THz pulse under real conditions

Efficiency of using the spectral dynamics analysis for pulsed THz spectroscopy of both explosive and other materials

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