DocumentCode :
18765
Title :
Maximum Likelihood Sequence Detection for Mitigating Nonlinear Effects
Author :
Marsella, Domenico ; Secondini, Marco ; Forestieri, Enrico
Author_Institution :
dell Inf. e della Percezione, Ist. di Tecnol. della Comun., Pisa, Italy
Volume :
32
Issue :
5
fYear :
2014
fDate :
1-Mar-14
Firstpage :
908
Lastpage :
916
Abstract :
Coherent detection allows for a more effective compensation of transmission impairments in the electrical domain. However, in order to be effective, a detection strategy should be based on an accurate channel model capable of providing sufficiently accurate signal statistics. While in the linear regime such a model is available and linear impairments such as chromatic dispersion and polarization-mode dispersion can be almost fully compensated by adaptive equalizers, this is not the case for nonlinear impairments, whose mitigation is essentially based on heuristic strategies. One of the most considered strategies is the back-propagation (BP) technique, based on channel inversion. It is shown that BP is most effective only in dispersion-unmanaged links, while a low-complexity Viterbi detector with proper metrics can achieve better results in the case of dispersion-managed links. It is also shown that, in the cases where it is effective, BP is far from approaching optimal performance. Indeed, proper processing after BP can significantly increase performance.
Keywords :
Viterbi detection; adaptive equalisers; maximum likelihood sequence estimation; nonlinear optics; optical fibre communication; optical fibre dispersion; optical fibre polarisation; optical information processing; optical links; optical signal detection; adaptive equalizers; back-propagation technique; channel inversion; channel model; chromatic dispersion; dispersion-managed links; dispersion-unmanaged links; electrical domain; low-complexity Viterbi detector; maximum likelihood sequence detection; nonlinear effects; polarization-mode dispersion; signal statistics; transmission impairment compensation; Approximation methods; Dispersion; Measurement; Noise; Nonlinear optics; Optical polarization; Vectors; Fiber nonlinearity; Viterbi detection; maximum likelihood detection; optical fiber communication;
fLanguage :
English
Journal_Title :
Lightwave Technology, Journal of
Publisher :
ieee
ISSN :
0733-8724
Type :
jour
DOI :
10.1109/JLT.2013.2294457
Filename :
6680652
Link To Document :
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