All-optical silicon-photonic constellation conversion of amplitude-phase modulation formats

Tomer Yeminy, Dan Sadot, Zeev Zalevsky

Research output: Contribution to journalArticlepeer-review

Abstract

Optical communication networks use electrical constellation converters requiring optical-electrical-optical conversions and expensive symbol-rate limiting electronics. In this paper, a generic method for all-optical silicon-photonic conversion of amplitude-phase modulation formats is proposed. The method is based on the implementation of single-layer radial basis function neural networks. A mathematical model is developed, and the parameters influencing the performance of the method are analyzed. Full optical simulation of a four-symbol constellation conversion was performed, resulting in error-free converted constellation that has an error vector magnitude lower than 2.5%.

Original languageEnglish
Article number7055224
JournalIEEE Photonics Journal
Volume7
Issue number2
DOIs
StatePublished - 1 Apr 2015

Keywords

  • Fiber-optic communications
  • integrated optics
  • neural networks
  • silicon optoelectronics.

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