Optical Time-Domain Reflectometry Simulations of Passive Optical Networks: A Linear Time-Invariant System Approach for Arbitrary Pulses

Feigel, Benjamin; Erps, Jürgen Van; Khoder, Mulham; Beri, Stefano; Jeuris, Kristof; Goidsenhoven, Danny Van; Watté, Jan; Thienpont, Hugo

doi:10.1109/jlt.2014.2330693

Cited by 6 publications

(3 citation statements)

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“…On the other hand, since several hundreds of averages are performed it is reasonable to assume that the noise follows a Gaussian distribution. Therefore, the resulting noise term can be accurately modeled as an additive Gaussian random variable with zero-mean and variance 2 N σ [5,21].…”

Section: Noise Considerationsmentioning

confidence: 99%

“…The use of an optical time-domain reflectometer (OTDR) is the most efficient technique to characterize an optical link [4,5]. However, the direct application of OTDR in PONs presents severe limitations: the OTDR waveform is composed by the addition of backscattering from several distribution drop fibers (DDF) and hence the real magnitude and localization of the fault is missed.…”

Section: Introductionmentioning

confidence: 99%

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Enhanced fault characterization by using a conventional OTDR and DSP techniques

et al. 2018

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To plan a rapid response and minimize operational costs, passive optical network operators require to automatically detect and identify faults that may occur in the optical distribution network. In this work, we present DSP-Enhanced OTDR, a novel methodology for remote fault analysis based on conventional optical time-domain reflectometry complemented with reference traces and DSP-based techniques. We first obtain the optimal decision thresholds to detect deviations in the noisy OTDR measurement. In order to quantify and characterize the fault, the detection stage is followed by one of estimation where its return loss and insertion loss are determined. We experimentally demonstrate that this approach allows to detect and characterize faults with an accuracy higher than that found in conventional OTDR trace analysis. In our experiments, we achieved detection sensitivities higher than 0.2 dB in a 1:16 split-ratio PON, and higher than 1 dB in a 1:64 split-ratio PON, achieving estimation errors that can be as low as 0.01 dB. We also verified how the optical network terminal's reflectivity can improve the detection capabilities.

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Section: Noise Considerationsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Enhanced fault characterization by using a conventional OTDR and DSP techniques

et al. 2018

View full text Add to dashboard Cite

show abstract

“…Although early studies on monitoring passive optical networks date back to the 1990's [60][61][62][63], the subject is still relevant because a simple low cost effective solution is not yet universaly available. Recent studies on PON monitoring can be found in [64][65][66][67]. Most centralized monitoring strategies for PONs are based on employing a commercial OTDR or a variation of this equipment such as a wavelength tunable OTDR or some embedded OTDRlike methodology.…”

Section: Monitoring Ponsmentioning

confidence: 99%