Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Nonlinear Pre-Distortion Based on Indirect Learning Architecture and Cross-Correlation-Enabled Behavioral Modeling for 120-Gbps Multimode Optical Interconnects

Not Accessible

Your library or personal account may give you access

Abstract

In this paper, we present a novel nonlinear pre-distortion scheme enabled by indirect learning architecture and cross-correlation based behavioral modeling. 120-Gbps PAM-4 error free transmission is demonstrated using 30-GHz class VCSEL.

© 2020 The Author(s)

PDF Article
More Like This
Digital Pre-Distortion Coefficients Identification Using Gauss-Newton Based Direct Learning Architecture

Hexun Jiang, Mengfan Fu, Yixiao Zhu, Lilin Yi, Weisheng Hu, and Qunbi Zhuge
Th1F.6 Optical Fiber Communication Conference (OFC) 2023

Experimental Demonstration of Nonlinear Equalizer for Self-Homodyne Detection Using Indirect Learning Digital Pre-Distorter and Neural Networks

Shuo Zheng, Min Yang, Guofeng Yan, Yanjun Zhu, Hua Zhang, Chaonan Yao, Yuchen Shao, and Jian Wang
SpTu1J.6 Signal Processing in Photonic Communications (SPPCom) 2022

Optimization of Recurrent Neural Network-Based Pre-Distorter for Coherent Optical Transmitter via Stochastic Orthogonal Decomposition

Moshe Tzur, Gil Paryanti, and Dan Sadot
SpTh2I.5 Signal Processing in Photonic Communications (SPPCom) 2020

Poster Presentation

Media 1: PDF (557 KB)     
Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All Rights Reserved