Analysis of signal processing techniques for optical 112 Gb/s DP-QPSK receivers with experimental data

Portela, T. F.; Souto, Diego Vieira; Rozental, Valery N.; Ferreira, Hugo Borges; Mello, Darli A. A.; Grießer, Helmut

doi:10.1590/s2179-10742011000100016

Cited by 6 publications

(1 citation statement)

References 7 publications

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“…From the definitions reported previously [3], [5], [17], [18], [19], [20], [21], the optical channel can be modeled using the scheme shown in Figure 2 where hx(t) and hy(t) represent the CD and PMD impulse responses (in each polarization), nx(t) and ny(t) represent the ASE noise (in each polarization) due to the amplifiers, and 101 2 represents the non-linear effect of the photodetector.…”

Section: Optical Channel Modelmentioning

confidence: 99%

Multilayer perceptron equalizer for optical communication systems

Sousa

Fernandes

2013

2013 SBMO/IEEE MTT-S International Microwave &Amp; Optoelectronics Conference (IMOC)

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Optical fibers are now widely used in communica tion systems, mainly because they offer faster data transmission speeds, compared to any other type of digital communication sys tem. Despite this great advantage, problems remain that prevent the full exploitation of optical connection: by increasing transmis sion rates over longer distances, the data is affected by nonlinear inter-symbol interference caused by dispersion phenomena in the fiber. Adaptive equalizers can be used to compensate for the effects caused by nonlinear channel responses, restoring the signal originally transmitted. The present work proposes a multilayer perceptron equalizer based on artificial neural networks. The technique was validated using a simulated optical channel, and was compared with other adaptive equalization techniques.

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