Feasibility study of the automated detection and localization of underground tunnel excavation using Brillouin optical time domain reflectometer

Assaf Klar; Raphael Linker

doi:10.1117/12.810781

27 April 2009 Feasibility study of the automated detection and localization of underground tunnel excavation using Brillouin optical time domain reflectometer

Assaf Klar, Raphael Linker

Author Affiliations +

Proceedings Volume 7316, Fiber Optic Sensors and Applications VI; 731603 (2009) https://doi.org/10.1117/12.810781
Event: SPIE Defense, Security, and Sensing, 2009, Orlando, Florida, United States

Abstract

Cross-borders smuggling tunnels enable unmonitored movement of people, drugs and weapons and pose a very serious threat to homeland security. Recent advances in strain measurements using optical fibers allow the development of smart underground security fences that could detect the excavation of smuggling tunnels. This paper presents the first stages in the development of such a fence using Brillouin Optical Time Domain Reflectometry (BOTDR). In the simulation study, two different ground displacement models are used in order to evaluate the robustness of the system against imperfect modeling. In both cases, soil-fiber interaction is considered. Measurement errors, and surface disturbances (obtained from a field test) are also included in the calibration and validation stages of the system. The proposed detection system is based on wavelet decomposition of the BOTDR signal, followed by a neural network that is trained to recognize the tunnel signature in the wavelet coefficients. The results indicate that the proposed system is capable of detecting even small tunnel (0.5m diameter) as deep as 20 meter.

Citation Download Citation

Assaf Klar and Raphael Linker "Feasibility study of the automated detection and localization of underground tunnel excavation using Brillouin optical time domain reflectometer", Proc. SPIE 7316, Fiber Optic Sensors and Applications VI, 731603 (27 April 2009); https://doi.org/10.1117/12.810781

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available