Paper
31 May 2013 Spectral lines dynamics as an effective tool for the identification of substance using reflected THz signal
Author Affiliations +
Abstract
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 investigating THz signals reflected from a sample. Obviously, criteria depend on using method for the detection and identification of the substance. Taking into account on our previous experience, we use for a solution of this problem the SDA method (method of the spectral dynamics analysis). In this case, we need, at least, developing the method for both getting requiring dynamics of spectral lines and assessment criteria and their algorithmic realization. In this paper, we show that the SDA method allows to identify the explosive under real conditions. We compare the spectral lines dynamics of THz pulse reflected from sample with the corresponding spectral lines dynamics of the THz pulse transmitted through the explosive. Used assessment and algorithm show both high probability of the substance identification and a reliability of realization in practice. Simultaneously, we discuss some problems connected with the main problem of the paper. It should be stressed that we use reference-free method for the detection of explosive. As one was emphasized in our previous papers, we do not use the main reflected pulse for the substance detection because it contains only information about the dielectric permittivity of material and does not contain the information about absorption properties of substance at using the reflection mode of THz device.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Vyacheslav A. Trofimov "Spectral lines dynamics as an effective tool for the identification of substance using reflected THz signal", Proc. SPIE 8716, Terahertz Physics, Devices, and Systems VII: Advanced Applications in Industry and Defense, 87160C (31 May 2013); https://doi.org/10.1117/12.2015602
Lens.org Logo
CITATIONS
Cited by 1 scholarly publication.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Terahertz radiation

Explosives

Picosecond phenomena

Signal detection

Absorption

Fourier transforms

Explosives detection

Back to Top