Nuisance alarm reduction: Using a correlation-based algorithm above differential signals in direct detected phase-OTDR systems

M. Adeel, C. Shang, K. Zhu, C. Lu

Research output: Journal article publicationJournal articleAcademic researchpeer-review

17 Citations (Scopus)

Abstract

Significant research efforts have focused on techniques for alleviating the nuisance alarm rate (NAR) in the field of φ-OTDR pattern recognition systems. Unfortunately, ephemeral events were mostly neglected in previous research, and algorithms meant for improving classification accuracy were emphasized at the cost of acquiring a very large number of traces. This problem engendered an additional source of NAR in a specific class of events. The proposed solution uses a novel correlation based wrapper on top of differential signals that aims to filter out the effect of unnecessary phases in direct detected φ-OTDR systems. This technique avoids the use of irrelevant data in these differential signals by exploiting a better use of these unnecessary phases and provides a better intensity translation with fewer acquired traces as compared with contemporary techniques of extracting features.

Original languageEnglish
Pages (from-to)7685-7698
Number of pages14
JournalOptics Express
Volume27
Issue number5
DOIs
Publication statusPublished - 2019

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics

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