Share Email Print
cover

Proceedings Paper

Detection and identification of substances using noisy THz signal
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

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.

Paper Details

Date Published: 18 May 2017
PDF: 23 pages
Proc. SPIE 10194, Micro- and Nanotechnology Sensors, Systems, and Applications IX, 101942O (18 May 2017); doi: 10.1117/12.2263316
Show Author Affiliations
Vyacheslav A. Trofimov, M.V. Lomonosov Moscow State Univ. (Russian Federation)
Irina G. Zakharova, M.V. Lomonosov Moscow State Univ. (Russian Federation)
Dmitry Yu. Zagursky, M.V. Lomonosov Moscow State Univ. (Russian Federation)
Svetlana A. Varentsova, M.V. Lomonosov Moscow State Univ. (Russian Federation)


Published in SPIE Proceedings Vol. 10194:
Micro- and Nanotechnology Sensors, Systems, and Applications IX
Thomas George; Achyut K. Dutta; M. Saif Islam, Editor(s)

© SPIE. Terms of Use
Back to Top