Adaptive electrical signal post-processing with varying representations in optical communication systems

Stephen Hunt*, Yi Sun, Alex Shafarenko, Rod Adams, Neil Davey, Brendan Slater, Ranjeet Bhamber, Sonia Boscolo, Sergei K. Turitsyn

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Improving bit error rates in optical communication systems is a difficult and important problem. Error detection and correction must take place at high speed, and be extremely accurate. Also, different communication channels have different characteristics, and those characteristics may change over time. We show the feasibility of using simple artificial neural networks to address these problems, and examine the effect of using different representations of signal waveforms on the accuracy of error correction. The results we have obtained lead us to the conclusion that a machine learning system based on these principles can improve on the performance of existing error correction hardware at the speed required, whilst being able to adapt to suit the characteristics of different communication channels.

Original languageEnglish
Title of host publicationEngineering Applications of Neural Networks : 11th International Conference, EANN 2009, London, UK, August 27-29, 2009. Proceedings
Place of PublicationBerlin (DE)
PublisherSpringer
Pages235-245
Number of pages11
ISBN (Electronic)978-3-642-03969-0
ISBN (Print)3-642-03968-5, 978-3-642-03968-3
DOIs
Publication statusPublished - 2009
Event11th International Conference on Engineering Applications of Neural Networks, EANN 2009 - London, United Kingdom
Duration: 27 Aug 200929 Aug 2009

Publication series

NameCommunications in Computer and Information Science
PublisherSpringer
Volume43
ISSN (Print)1865-0929

Conference

Conference11th International Conference on Engineering Applications of Neural Networks, EANN 2009
CountryUnited Kingdom
CityLondon
Period27/08/0929/08/09

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Keywords

  • adaptive signal processing
  • classification
  • Error correction
  • optical communication

Cite this

Hunt, S., Sun, Y., Shafarenko, A., Adams, R., Davey, N., Slater, B., Bhamber, R., Boscolo, S., & Turitsyn, S. K. (2009). Adaptive electrical signal post-processing with varying representations in optical communication systems. In Engineering Applications of Neural Networks : 11th International Conference, EANN 2009, London, UK, August 27-29, 2009. Proceedings (pp. 235-245). (Communications in Computer and Information Science; Vol. 43). Springer. https://doi.org/10.1007/978-3-642-03969-0_22