Abstract
A new deep learning training method for digital back propagation (DBP) is introduced. It is invariant to polarization state rotation and phase noise. Applying the method one gains more than 1 dB over standard DBP.
© 2020 The Author(s)
PDF ArticleMore Like This
Mohannad Abu-romoh, Nelson Costa, Antonio Napoli, Bernhard Spinnler, Yves Jaouën, and Mansoor Yousefi
We1C.6 European Conference and Exhibition on Optical Communication (ECOC) 2022
Silvio Montresor, Marie Tahon, Antoine Laurent, and Pascal Picart
HTu4B.4 Digital Holography and Three-Dimensional Imaging (DH) 2020
José Hélio C. Júnior, Tiago Sutili, Sandro M. Rossi, Rafael C. Figueiredo, and Darli A. A. Mello
T4I.2 Optical Fiber Communication Conference (OFC) 2020