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arXiv · 1602.04379

Adaptive Filter for Automatic Identification of Multiple Faults in a Noisy OTDR Profile

Jean Pierre von der Weid·Mario H. Souto·Joaquim D. Garcia·Gustavo C. Amaral
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Abstract

We present a novel methodology able to distinguish meaningful level shifts from typical signal fluctuations. A two-stage regularization filtering can accurately identify the location of the significant level-shifts with an efficient parameter-free algorithm. The developed methodology demands low computational effort and can easily be embedded in a dedicated processing unit. Our case studies compare the new methodology with current available ones and show that it is the most adequate technique for fast detection of multiple unknown level-shifts in a noisy OTDR profile.

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Jean Pierre von der Weid, Mario H. Souto, Joaquim D. Garcia, Gustavo C. Amaral. 2016-02-13. Adaptive Filter for Automatic Identification of Multiple Faults in a Noisy OTDR Profile. https://doi.org/10.1109/jlt.2016.2570302

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