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Showing papers by "Norbert Hanik published in 2006"


Proceedings Article
01 Jan 2006
TL;DR: In this article, the performance of digital T-spaced equalizer technologies like Feed Forward Equalization (FFE) and Maximum Likelihood Sequence Estimation (MLSE) with data rates ranging from 100 Mbit/s to 500 M bit/s is analyzed.
Abstract: Electronic equalization can allow for significant mitigation of impairments induced by modal dispersion in the step-index Polymer Optical Fiber In this work we show the performance of digital T-spaced equalizer technologies like Feed Forward Equalization (FFE) and Maximum Likelihood Sequence Estimation (MLSE) with data rates from 100 Mbit/s to 500 Mbit/s The simulations are based on a channel model, which combines all three major fiber effects of modal attenuation, modal dispersion and mode coupling

5 citations


Proceedings ArticleDOI
01 Oct 2006
TL;DR: Maximum likelihood sequence estimation (MLSE) is identified as an efficient technique for GDR equalization in fibre Bragg Gratings.
Abstract: Fibre Bragg Gratings are a promising technology for dispersion compensation in optical links, but suffer from group delay ripple (GDR) induced penalties. We identify maximum likelihood sequence estimation (MLSE) as an efficient technique for GDR equalization.

4 citations


Proceedings ArticleDOI
18 Jun 2006
TL;DR: This work evaluates the receiver performance of five modulation schemes in a single-channel optical transmission scenario of 40 Gbit/s using numerical simulations and applies the well known Karhunen-Loeve expansion method for square-law detection on the calculation of the bit-error rate.
Abstract: Advanced modulation formats using higher-order amplitude- and phase-modulation have been recently used to achieve record capacity in long-haul optical transmission systems. In this work, we evaluate the receiver performance of five modulation schemes in a single-channel optical transmission scenario of 40 Gbit/s using numerical simulations. The well known Karhunen-Loeve expansion method for square-law detection is applied on the calculation of the bit-error rate for each receiver model.