A machine learning-based detection technique for optical fiber nonlinearity mitigation
| العنوان: | A machine learning-based detection technique for optical fiber nonlinearity mitigation |
|---|---|
| المؤلفون: | Octavia A. Dobre, Xiang Lin, Abdelkerim Amari, Alex Alvarado, Ramachandran Venkatesan |
| المساهمون: | Information and Communication Theory Lab, Signal Processing Systems, Center for Wireless Technology Eindhoven |
| المصدر: | IEEE Photonics Technology Letters, 31(8):8660506, 627-630. Institute of Electrical and Electronics Engineers |
| سنة النشر: | 2019 |
| مصطلحات موضوعية: | Signal Processing (eess.SP), FOS: Computer and information sciences, Computer Science - Machine Learning, Computer science, Kernel density estimation, Context (language use), Parzen window, fiber nonlinearity mitigation, Atomic and Molecular Physics, and Optics, Backpropagation, Machine Learning (cs.LG), Electronic, Optical and Magnetic Materials, Support vector machine, Statistical classification, Nonlinear system, machine learning, optical communication systems, Dispersion (optics), Digital back propagation, FOS: Electrical engineering, electronic engineering, information engineering, Electronic engineering, Electrical and Electronic Engineering, Performance improvement, Electrical Engineering and Systems Science - Signal Processing |
| الوصف: | We investigate the performance of a machine learning classification technique, called the Parzen window, to mitigate the fiber nonlinearity in the context of dispersion managed and dispersion unmanaged systems. The technique is applied for detection at the receiver side, and deals with the non-Gaussian nonlinear effects by designing improved decision boundaries. We also propose a two-stage mitigation technique using digital back propagation and Parzen window for dispersion unmanaged systems. In this case, digital back propagation compensates for the deterministic nonlinearity and the Parzen window deals with the stochastic nonlinear signal-noise interactions, which are not taken into account by digital back propagation. A performance improvement up to 0:4 dB in terms of Q factor is observed. Accepted for publication in IEEE Photonics Technology Letters |
| وصف الملف: | application/pdf |
| اللغة: | English |
| تدمد: | 1041-1135 |
| DOI: | 10.1109/lpt.2019.2902973 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ef686a6e1ae2289461c616f4c8774c58 https://doi.org/10.1109/lpt.2019.2902973 |
| Rights: | OPEN |
| رقم الانضمام: | edsair.doi.dedup.....ef686a6e1ae2289461c616f4c8774c58 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 10411135 |
|---|---|
| DOI: | 10.1109/lpt.2019.2902973 |