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Deep learning based Doppler frequency offset estimation for 5G-NR downlink in HSR scenario

YANG Lihua WANG Zenghao ZHANG Jie JIANG Ting

高技术通讯：英文版2022，Vol.28Issue(2)：P.115-121,7.

高技术通讯：英文版2022，Vol.28Issue(2)：P.115-121,7.DOI:10.3772/j.issn.1006-6748.2022.02.001

Deep learning based Doppler frequency offset estimation for 5G-NR downlink in HSR scenario

YANG Lihua ¹WANG Zenghao ¹ZHANG Jie ¹JIANG Ting²

作者信息

1. College of Communication and Information Engineering,Nanjing University of Posts and Telecommunications,Nanjing 210003,P.R.China
2. College of Electronic and Information Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing 210016,P.R China
折叠

摘要

关键词

fifth-generation new radio(5G-NR)/high-speed railway(HSR)/deep learning(DL)/back propagation neural network(BPNN)/Doppler frequency offset(DFO)estimation

分类

交通工程

引用本文复制引用

YANG Lihua,WANG Zenghao,ZHANG Jie,JIANG Ting..Deep learning based Doppler frequency offset estimation for 5G-NR downlink in HSR scenario[J].高技术通讯：英文版,2022,28(2):P.115-121,7.

基金项目

Supported by the National Science Foundation Program of Jiangsu Province(No.BK20191378) （No.BK20191378）

the National Science Research Project of Jiangsu Higher Education Institutions(No.18KJB510034) （No.18KJB510034）

the 11th Batch of China Postdoctoral Science Fund Special Funding Project(No.2018T110530) （No.2018T110530）

the National Natural Science Foundation of China(No.61771255)。（No.61771255）

高技术通讯：英文版

OAEI

ISSN：1006-6748

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