Modulation Format Recognition based on Transfer Learning for Visible Light Communication Systems

We demonstrate a novel modulation format recognition method using transfer learning for OFDM-VLC systems. The proposed AlexNet/GoogLeNet-TL-based scheme significantly improves recognition accuracy over a large SNR range in practical scenarios with small training datasets available.

Saved in:
Bibliographic Details
Main Authors: Zhao, Zhenquan, Wei, Zixian, Wang, Zhaoming, Zhang, Yuan, Li, Mutong, Khan, Faisal Nadeem, Fu, H. Y.
Format: Conference Proceeding
Language:English
Subjects:
Data models
Modulation
Signal to noise ratio
Training
Transfer learning
Visible light communication
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:We demonstrate a novel modulation format recognition method using transfer learning for OFDM-VLC systems. The proposed AlexNet/GoogLeNet-TL-based scheme significantly improves recognition accuracy over a large SNR range in practical scenarios with small training datasets available.
ISSN:2166-8892
DOI:10.1364/OECC.2021.JS2B.12