Efficient Training of Volterra Series-Based Pre-distortion Filter Using Neural Networks

V. Bajaj, Mathieu Chagnon, S. Wahls, Vahid Aref

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

Abstract

We present a simple, efficient “direct learning” approach to train Volterra series-based pre-distortion filters using neural networks. We show its superior performance over conventional training methods using a 64-QAM 64 GBaud simulated transmitter with varying transmitter nonlinearity and noisy conditions.
Original languageEnglish
Title of host publicationProceedings of the Optical Fiber Communications Conference and Exhibition (OFC 2022)
PublisherIEEE
Number of pages3
ISBN (Electronic)978-1-55752-466-9
Publication statusAccepted/In press - 13 Apr 2022
Event2022 Optical Fiber Communications Conference and Exhibition (OFC) - San Diego, United States
Duration: 6 Mar 202210 Mar 2022

Conference

Conference2022 Optical Fiber Communications Conference and Exhibition (OFC)
Country/TerritoryUnited States
CitySan Diego
Period6/03/2210/03/22

Bibliographical note

Preliminary paper

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