Non-Asymptotic Real-Time Adaptation to Background Noise in Multichannel C-OTDR Monitoring Systems

ANDREY, V. TIMOFEEV and DMITRY, V. EGOROV (2015) Non-Asymptotic Real-Time Adaptation to Background Noise in Multichannel C-OTDR Monitoring Systems. In: Second International Conference on Advances in Information Processing and Communication Technology - IPCT 2015, 18 - 19 April, 2015, Rome, Italy.

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Abstract

A sequential nonparametric method is proposed for adaptation to background noise parameters for real-time. The method is designed to operate as an adaptation-unit, which is included inside a detection subsystem of an integrated multichannel monitoring system. The proposed method guarantees the given size of a nonasymptotic confidence set for noise parameters. Properties of the suggested method are rigorously proved. The proposed algorithm has been successfully tested in real conditions of a functioning C-OTDR monitoring system, which was designed to monitor a railway.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Guaranteed estimation, multichannel monitoring systems, non-asymptotic confidence set
Depositing User: Mr. John Steve
Date Deposited: 01 May 2019 12:05
Last Modified: 01 May 2019 12:05
URI: http://publications.theired.org/id/eprint/1833

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