Iterative turbo equalization technique to countervail fiber optic transmission impairments

Uddin, Md. Siam; Nondy, Raton Kumar; Islam, Md. Monjurul; Ullah, Shah Md. Rahmot

doi:10.1109/iciev.2014.6850765

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2015

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“…However, even with small channel memory, the use of high-order modulation causes the trellis complexity associated with the BCJR algorithm to be very high. A normalized least mean square algorithm was used in [15]- [17]. However, the results were presented based on only a relatively low rate (rate 1/2) convolutional code, which achieved a reported 2 dB launch-power tolerance improvement, measured pre-FEC.…”

Section: Introductionmentioning

confidence: 99%

Optical Nonlinear Phase Noise Compensation for <inline-formula><tex-math>$9\times 32$</tex-math> </inline-formula>-Gbaud PolDM-16 QAM Transmission Using a Code-Aided Expectation-Maximization Algorithm

Pan¹,

Bülow

Idler

et al. 2015

J. Lightwave Technol.

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Nonlinearity-induced phase noise has become a major obstacle in long-haul coherent fiber-optic communication systems. Such phase noise has been shown to be signal dependent, and correlated over time. We propose a code-aided expectationmaximization algorithm to mitigate such nonlinear phase noise, iteratively utilizing both the time correlation of the nonlinearityinduced impairments and a soft-decision error-control code. Simulation and experimental results show that on a dual-polarization wavelength-division-multiplexed 16 QAM system, launch-power tolerance can be increased by 1.5 dB, and the optical signal-tonoise ratio requirement can be relaxed by 0.3 dB to achieve the same Q 2 -factor.

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Section: Introductionmentioning

confidence: 99%