Equalização neural aplicada a sistemas com modulação bidimensional em fibra óptica
Nowadays, optic fiber is one of the most used communication methods, mainly due to the fact that the data transmission rates of those systems exceed all of the other means of digital communication. Despite the great advantage, there are problems that prevent full utilization of the optical channel:...
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| Formato: | Dissertação |
| Idioma: | por |
| Publicado em: |
Universidade Federal do Rio Grande do Norte
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| Endereço do item: | https://repositorio.ufrn.br/jspui/handle/123456789/15498 |
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| Resumo: | Nowadays, optic fiber is one of the most used communication methods, mainly due to
the fact that the data transmission rates of those systems exceed all of the other means of
digital communication. Despite the great advantage, there are problems that prevent full
utilization of the optical channel: by increasing the transmission speed and the distances
involved, the data is subjected to non-linear inter symbolic interference caused by the
dispersion phenomena in the fiber. Adaptive equalizers can be used to solve this problem,
they compensate non-ideal responses of the channel in order to restore the signal that
was transmitted. This work proposes an equalizer based on artificial neural networks and
evaluates its performance in optical communication systems. The proposal is validated
through a simulated optic channel and the comparison with other adaptive equalization
techniques |
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