Abstract:We propose a novel monitoring that enables to localize PDL in multi-span transmission using only Rx-side DSP and experimentally demonstrate sufficient accuracy within error of 1km with eighty-two polarization combinations in three-span, 180-km transmission line.
“…Recently, several link properties, such as longitudinal power evolution [7]- [12], frequency response of bandpass filters [12], span-wise chromatic dispersion mapping [13], Raman gain [14], and polarization-dependent loss profile [15] have been obtained through Rx-DSP. In general terms, the basic principle that permits the extraction of these physical properties is the fact that the optical link can be analytically modeled using conventional split-step Fourier method.…”
Section: Related Workmentioning
confidence: 99%
“…For the Volterra DPD, we used a truncated, timeinvariant 3rd-order Volterra filter with 256 taps in the first order, and 9 taps in the second and third orders. In the sequence, this DPD filter is applied on a 64-GBd DP-16-QAM signal generated with a 2 15 pseudo-random bit sequence and shaped with a root-raised cosine pulse filter (roll-off factor 0.1). In addition to the DPD, a chromatic dispersion pre-compensation of 800 ps/nm was also performed on the transmitter side and added to the signal, as suggested in [8].…”
Section: ) Experiments Imentioning
confidence: 99%
“…Caio Santos, Robert Emmerich, Behnam Shariati, Colja Schubert, Johannes K. Fischer and Ronald Freund are with the Fraunhofer receiver (Rx) based digital signal processing (DSP) methods have been extensively explored to estimate properties of optical fiber links [7]- [17], thus relaxing the demanding requirements of deploying multiple and expensive node-level measurement devices. Thanks to their capability in unveiling multi-span link characteristics, such as longitudinal power evolution [7]- [12], frequency response of optical filters [12], chromatic dispersion mapping [13], Raman gain [14], and polarization-dependent loss [15], these Rx-DSP monitoring methods have gained a momentum over the past few years. One successful example of Rx-DSP for estimation of link properties was demonstrated in [8], the so-called in-situ power profile estimator (PPE).…”
Section: Introductionmentioning
confidence: 99%
“…This visualization was denominated in [16] as link tomography and can be considered as a first step towards the design of a networkwide tomography [7]. In order to calculate the correlation between Tributary 1 and 2, we have used data processing blocks of 2 15 samples (32768 samples), which is a longer window than the 2 11 samples used in [9]. Although this makes the algorithm slower, given the higher number of samples to be processed, we noticed that, in turn, a reduced number of averagings could be applied to achieve a rather smooth longitudinal power estimation curve.…”
The development of efficient anomaly detection schemes is a key element for the implementation of autonomous optical networks as they can help telecom operators to automate the location of defective devices and track the overall performance of the network infrastructure. In that regard, the exploitation of receiver based digital signal processing (DSP) for optical performance monitoring has shown to be a promising enabler for detection of spatially resolved and wavelength-dependent properties and anomalies in optical fiber links. In this work, we study the benefits of applying DSP-based longitudinal power estimation on multiple wavelength division multiplexing (WDM) channels allocated in the optical grid to infer wavelength-wise characteristics of a C+L-band optical line system. In that context, we show that the applied scheme can successfully recreate a visualization of the spatial evolution of the gain tilt imposed by inline optical amplifiers. Additionally, we propose the utilization of advanced DSP tools based on wavelet-denoising to enhance the performance of an anomaly detection approach. The proposed method not only can improve accuracy of the fault location, by reducing positioning uncertainty, but it also delivers more uniform readings of the anomaly signatures.
“…Recently, several link properties, such as longitudinal power evolution [7]- [12], frequency response of bandpass filters [12], span-wise chromatic dispersion mapping [13], Raman gain [14], and polarization-dependent loss profile [15] have been obtained through Rx-DSP. In general terms, the basic principle that permits the extraction of these physical properties is the fact that the optical link can be analytically modeled using conventional split-step Fourier method.…”
Section: Related Workmentioning
confidence: 99%
“…For the Volterra DPD, we used a truncated, timeinvariant 3rd-order Volterra filter with 256 taps in the first order, and 9 taps in the second and third orders. In the sequence, this DPD filter is applied on a 64-GBd DP-16-QAM signal generated with a 2 15 pseudo-random bit sequence and shaped with a root-raised cosine pulse filter (roll-off factor 0.1). In addition to the DPD, a chromatic dispersion pre-compensation of 800 ps/nm was also performed on the transmitter side and added to the signal, as suggested in [8].…”
Section: ) Experiments Imentioning
confidence: 99%
“…Caio Santos, Robert Emmerich, Behnam Shariati, Colja Schubert, Johannes K. Fischer and Ronald Freund are with the Fraunhofer receiver (Rx) based digital signal processing (DSP) methods have been extensively explored to estimate properties of optical fiber links [7]- [17], thus relaxing the demanding requirements of deploying multiple and expensive node-level measurement devices. Thanks to their capability in unveiling multi-span link characteristics, such as longitudinal power evolution [7]- [12], frequency response of optical filters [12], chromatic dispersion mapping [13], Raman gain [14], and polarization-dependent loss [15], these Rx-DSP monitoring methods have gained a momentum over the past few years. One successful example of Rx-DSP for estimation of link properties was demonstrated in [8], the so-called in-situ power profile estimator (PPE).…”
Section: Introductionmentioning
confidence: 99%
“…This visualization was denominated in [16] as link tomography and can be considered as a first step towards the design of a networkwide tomography [7]. In order to calculate the correlation between Tributary 1 and 2, we have used data processing blocks of 2 15 samples (32768 samples), which is a longer window than the 2 11 samples used in [9]. Although this makes the algorithm slower, given the higher number of samples to be processed, we noticed that, in turn, a reduced number of averagings could be applied to achieve a rather smooth longitudinal power estimation curve.…”
The development of efficient anomaly detection schemes is a key element for the implementation of autonomous optical networks as they can help telecom operators to automate the location of defective devices and track the overall performance of the network infrastructure. In that regard, the exploitation of receiver based digital signal processing (DSP) for optical performance monitoring has shown to be a promising enabler for detection of spatially resolved and wavelength-dependent properties and anomalies in optical fiber links. In this work, we study the benefits of applying DSP-based longitudinal power estimation on multiple wavelength division multiplexing (WDM) channels allocated in the optical grid to infer wavelength-wise characteristics of a C+L-band optical line system. In that context, we show that the applied scheme can successfully recreate a visualization of the spatial evolution of the gain tilt imposed by inline optical amplifiers. Additionally, we propose the utilization of advanced DSP tools based on wavelet-denoising to enhance the performance of an anomaly detection approach. The proposed method not only can improve accuracy of the fault location, by reducing positioning uncertainty, but it also delivers more uniform readings of the anomaly signatures.
“…(ii) No probing light or additional optical components are required. (iii) it has more applications such as span-wise CD map estimation [6], [7], spatial and spectral PPE [6], [11]- [14], localization of anomaly amplifiers [6], [11]- [14], anomaly filters with a detuned center frequency [6], [15], polarization-dependent loss [16], and multi-path interference [9]. PPE, therefore, has the potential to revolutionize hardware-based approaches, unveiling the physical parameter distributions of various link components and even localizing their soft failures at a coherent receiver.…”
This paper presents analytical results on power profile estimation (PPE) methods, which visualize signal power evolution in the fiber-longitudinal direction at a coherent receiver. Two types of PPE methods are reviewed and analyzed, including correlation-based methods (CMs) and minimum-mean-squareerror-based methods (MMSEs). The analytical expressions for their output power profiles and spatial resolution are provided, and thus the theoretical performance limits of the two PPE methods and their differences are clarified. The derived equations indicate that the estimated power profiles of CMs can be understood as the convolution of a true power profile and a smoothing function. Consequently, the spatial resolution and measurement accuracy of CMs are limited, even under noiseless and distortionless conditions. Closed-form formulas for the spatial resolution of CMs are shown to be inversely proportional to the product of a chromatic dispersion coefficient and the square of signal bandwidth. With MMSEs, such a convolution effect is canceled out and the estimated power profiles approach a true power profile under a fine spatial step size.
This paper presents a linear least squares method for fiber-longitudinal power profile estimation (PPE), which estimates the optical signal power distribution throughout a fiber-optic link at a coherent receiver. The method finds the global optimum in the least squares estimation of the longitudinal power profiles; thus, its results closely match the true optical power profiles and locate loss anomalies in a link with high spatial resolution. Experimental results show that the method achieves accurate PPE with an RMS error of 0.18 dB from OTDR. Consequently, it successfully identifies a loss anomaly as small as 0.77 dB, demonstrating the potential of a coherent receiver in locating even splice and connector losses. The method is also evaluated under WDM conditions with optimal system fiber launch power, highlighting its feasibility for use in practical operations. Furthermore, the fundamental limit for stable estimation and the spatial resolution of least-squares-based PPE are quantitatively discussed in relation to the ill-posedness of the PPE by evaluating the condition number of the nonlinear perturbation matrix.
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