Power penalty assessment in optically preamplified receivers with arbitrary optical filtering and signal-dependent noise dominance

Rebola, Joao L.; Cartaxo, Adolfo V. T.

doi:10.1109/50.988988

Cited by 27 publications

(9 citation statements)

References 21 publications

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“…However, EDFAs generate large amounts of spontaneous emission noise over a broad bandwidth (10). This amplified spontaneous emission noise can beat with the optical signal at a photodiode to create broadband RF noise (11). To prevent this signal-noise beating, I placed an optical bandpass filter with a 1-nm bandwidth after the EDFA.…”

Section: System Optimizationmentioning

confidence: 99%

Photonic Delay-line Phase Noise Measurement System

Okusaga¹

2011

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Section: System Optimizationmentioning

confidence: 99%

Photonic Delay-line Phase Noise Measurement System

Okusaga¹

2011

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“…For the results presented in this paper, we compute the factor using the smallest mark and largest space in the noise-free signal, since these two bits are the main sources of errors in the receiver [9], [10]. Rebola and Cartaxo showed that this procedure produces accurate -factor estimates in systems that do not have significant ISI [10].…”

Section: The Q Factor and The Enhancement Factormentioning

confidence: 99%

“…This case has been extensively treated in the literature [1], [4], [7], [9], [10]. However, the polarization state of the noise can be significantly affected by the presence of polarization-dependent components, such as components with polarization-dependent loss (PDL) and polarization-dependent gain (PDG) [11].…”

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confidence: 99%

“…For the results presented in this paper, any intersymbol interference (ISI) in the receiver was accounted for by computing the factor using the mark with the smallest voltage and the space with the largest voltage in the noise-free electrically filtered signal [9], [10]. However, in the presence of transmission-induced bit-pattern dependences, one must use the formulas for the mean and the variance of the electric current derived to compute the factor more accurately using the procedure introduced in [19].…”

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confidence: 99%

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A receiver model for optical fiber communication systems with arbitrarily polarized noise

Lima

Sun³

et al. 2005

J. Lightwave Technol.

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Abstract-The authors have derived a receiver model that provides an explicit relationship between the factor and the optical signal-to-noise ratio (OSNR) in optical fiber communication systems for arbitrary pulse shapes, realistic receiver filters, and arbitrarily polarized noise. It is shown how the system performance depends on both the degree of polarization of the noise and the angle between the Stokes' vectors of the signal and the noise. The results demonstrate that the relationship between the OSNR and the factor is not unique when the noise is partially polarized. This paper defines the enhancement factor and three other parameters that explicitly quantify the relative performance of different modulation formats in a receiver. The theoretical and experimental results show that the performance of the return-to-zero format is less sensitive to variations in the receiver characteristics than is the performance of the nonreturn-to-zero format. Finally, a validation of the formula is presented for computing the factor from the OSNR and the Stokes vectors of the signal and the noise by comparison with both experiments and Monte Carlo simulations.

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“…The BER is then obtained from these pdfs using the method described in [20]. In the second approach, formulae are derived for the mean and standard deviation of the received current from which Gaussian approximations to the electrical pdfs are obtained [20], [21]. Even though the pdfs are not Gaussian, simulations have shown that for amplitude-shift-keyed modulation formats, the BER values obtained using the Gaussian pdfs are accurate to within a factor of 2 [22], [23].…”

Section: Introductionmentioning

confidence: 99%

Receiver Model for Depolarized Signal Due to Polarization-Mode Dispersion and Partially Polarized Noise Due to Polarization-Dependent Loss in an Optical Fiber Communication System

Jiao

Zweck

et al. 2009

J. Lightwave Technol.

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Abstract-We systematically investigate the combined effect on the system performance in an optical fiber communication system of a signal that is depolarized due to polarization-mode dispersion (PMD) and noise that is partially polarized due to polarization-dependent loss. We derive a formula for the variance of the electric current of the signal due to the signal-noise beating between a depolarized signal and partially polarized noise. We validate this theoretical formula by comparing the -factor calculated using the theory to results obtained from Monte Carlo simulations and experiments. We show that the system performance strongly depends on the power-splitting ratio, the degree of polarization of the noise, and the angle between the states of polarization of the signal and the polarized part of the noise. Although the theoretical formula is derived assuming that the optical fiber only has first-order PMD, we show that for arbitrary fiber, this formula still produces a reliable estimate of the -factor provided that the second-order PMD is on the order of 300 ps 2 or less.

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Power penalty assessment in optically preamplified receivers with arbitrary optical filtering and signal-dependent noise dominance

Cited by 27 publications

References 21 publications

Photonic Delay-line Phase Noise Measurement System

Photonic Delay-line Phase Noise Measurement System

A receiver model for optical fiber communication systems with arbitrarily polarized noise

Receiver Model for Depolarized Signal Due to Polarization-Mode Dispersion and Partially Polarized Noise Due to Polarization-Dependent Loss in an Optical Fiber Communication System

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