FWM compensation using artificial-neural-network-based digital signal processing and a phase-locked multicarrier source

• Owaki Shotaro

  School of Science and Technology, Meiji University

• Nakamura Moriya

  School of Science and Technology, Meiji University

抄録

We propose a four-wave mixing (FWM) compensation scheme using artificial-neural-network (ANN)-based digital signal processing. A phase-locked multicarrier source was employed to assure the deterministic phase relation between the carriers. The ANN successfully compensated for not only self-phase modulation (SPM) and cross-phase modulation (XPM) but also the nonlinear waveform distortion caused by FWM in the phase-locked condition. We investigated the compensation performance using a transmission system involving 5-ch wavelength-division multiplexing (WDM) of 16QAM-signals by numerical simulations. The performance in terms of the error vector magnitude (EVM) was improved by more than 19% using the proposed compensation method.

収録刊行物

• IEICE Communications Express

  IEICE Communications Express 8 (7), 245-250, 2019

  一般社団法人 電子情報通信学会

キーワード

• digital signal processing
• nonlinear distortion
• XPM
• FWM
• artificial neural network
• phase-locked multicarrier

詳細情報

• CRID: 1390845713079836544
• NII論文ID: 130007672996
• DOI: 10.1587/comex.2019xbl0042
• ISSN: 21870136
• Web Site: https://www.jstage.jst.go.jp/article/comex/8/7/8_2019XBL0042/_pdf
• 本文言語コード: en
• データソース種別:
  • JaLC
  • Crossref
  • CiNii Articles
• 抄録ライセンスフラグ: 使用不可