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Proceedings Paper

Adaptive non-intrusive terahertz identification
Author(s): Andre Sokolnikov
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Paper Abstract

In the recent years, multifarious devices, systems and applications working in the THz frequency domain have been brought to life. Many of them are meant for security and military purposes, such as non-invasive detection of explosives, weapons, biological and chemical agents, etc. The problem, however, is not only with the detection and ever-increasing accuracy of measurements but often with understanding of what is seen; discriminating between the objects and the materials they are made of. It seems especially important to create an automatic or semi-automatic system and thus release the operator from constant watching. The proposed solution is an adaptive intelligent system based on usage of THz waves as the probing signal by means of mathematical statistics. Time series analysis is one of the forms that is employed in this research. The adaptivity of the system to various objects under investigation is based on the data base installed as well as on the possibility of changing of the detection system's parameters and modes of operation depending on the signal received from the identified objects. In other words, the suggested method allows for the detection system to switch from, say, the metal object mode to the pharmaceutical one and so forth.

Paper Details

Date Published: 19 May 2006
PDF: 11 pages
Proc. SPIE 6212, Terahertz for Military and Security Applications IV, 621211 (19 May 2006); doi: 10.1117/12.659618
Show Author Affiliations
Andre Sokolnikov, Visual Solutions and Applications (United States)

Published in SPIE Proceedings Vol. 6212:
Terahertz for Military and Security Applications IV
Dwight L. Woolard; R. Jennifer Hwu; Mark J. Rosker; James O. Jensen, Editor(s)

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