Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/6205
Title: Adaptive Power Thresholding for Real Time Threat Detection in Distributed Acoustic Sensing Systems
Authors: Maral, Hakan
Akgün, Toygar
Aktaş, Metin
Keywords: Distributed acoustic sensing
phase-OTDR
adaptive thresholding
threat detection
real-time processing
Issue Date: 2018
Publisher: IEEE
Source: 26th IEEE Signal Processing and Communications Applications Conference (SIU) -- MAY 02-05, 2018 -- Izmir, TURKEY
Series/Report no.: Signal Processing and Communications Applications Conference
Abstract: In this paper, an adaptive power thresholding approach for real time treat detection on fiber optic based distributed acoustic sensing systems is presented. Since, the measured signal magnitude changes due to the optical system internal mechanisms and physical activities applied near the fiber optic cable and there is no approved statistical signal model, signal statistics are generated from the captured data directly. Since, it is not known a priori that the captured data contains only noise or noisy activity data, power threshold is computed by applying two step statistical model approach. To do this, first and second order Gaussian mixture models are tested and the most appropriate is used for computing power threshold. Additionally, the update mechanism of power thresholding is explained and the execution time of the algorithm is analyzed.
URI: https://hdl.handle.net/20.500.11851/6205
ISBN: 978-1-5386-1501-0
ISSN: 2165-0608
Appears in Collections:Bilgisayar Mühendisliği Bölümü / Department of Computer Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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