典型文献
Deep learning based Doppler frequency offset estimation for 5G-NR downlink in HSR scenario
文献摘要：
In the fifth-generation new radio(5G-NR)high-speed railway(HSR)downlink,a deep learn-ing(DL)based Doppler frequency offset(DFO)estimation scheme is proposed by using the back propagation neural network(BPNN).The proposed method mainly includes pre-training,training,and estimation phases,where the pre-training and training belong to the off-line stage,and the esti-mation is the online stage.To reduce the performance loss caused by the random initialization,the pre-training method is employed to acquire a desirable initialization,which is used as the initial pa-rameters of the training phase.Moreover,the initial DFO estimation is used as input along with the received pilots to further improve the estimation accuracy.Different from the training phase,the ini-tial DFO estimation in pre-training phase is obtained by the data and pilot symbols.Simulation re-sults show that the mean squared error(MSE)performance of the proposed method is better than those of the available algorithms,and it has acceptable computational complexity.
文献关键词：
中图分类号：
作者姓名：
YANG Lihua;WANG Zenghao;ZHANG Jie;JIANG Ting
作者机构：
College of Communication and Information Engineering,Nanjing University of Posts and Telecommunications,Nanjing 210003,P.R.China;College of Electronic and Information Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing 210016,P.R.China
文献出处：
引用格式：
[1]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(02):115-121
A类：
B类：
Deep,learning,Doppler,frequency,offset,estimation,NR,downlink,HSR,scenario,In,fifth,generation,new,radio,high,speed,railway,deep,DL,DFO,scheme,is,proposed,by,using,back,propagation,neural,network,BPNN,method,mainly,includes,pre,training,phases,where,belong,stage,online,To,reduce,performance,loss,caused,random,initialization,employed,acquire,desirable,which,rameters,Moreover,input,along,received,pilots,further,improve,accuracy,Different,from,obtained,data,symbols,Simulation,sults,show,that,mean,squared,error,MSE,better,than,those,available,algorithms,acceptable,computational,complexity
AB值：
0.510204
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