5G高速移动系统中基于BP神经网络的多普勒频偏估计方法

doi:10.11959/j.issn.1000-0801.2020124

Abstract

Abstract:

A BP neural network based Doppler frequency offset estimation method was proposed.The proposed method was mainly divided into two stages:offline training and online estimation.Firstly,the training samples were constructed by using random Doppler frequency offset and received pilot signals,and then the training samples were used to train the BP neural network offline,which could complete the mapping relationship between input and output data.Then,based on the trained network,the received pilot signal was used to estimate the Doppler frequency offset online.Simulation results show that the performance of the proposed method is far superior to the existing method,and it has low computational complexity.

Key words: 5G-NR, millimeter wave, high speed railway, BP neural network, Doppler frequency offset estimation

CLC Number:

TN929.5

Zenghao WANG,Lihua YANG,Lu CHENG,Jie ZHANG,Yan LIANG. BP neural network based Doppler frequency offset estimation method for 5G high-speed mobile system[J]. Telecommunications Science, 2020, 36(4): 83-90.

Figures/Tables 7

方法	复数乘法	复数加法
参考文献[11]方法	3N+3	N- 1
参考文献[13]方法	$N / 2 + 2 N_{cp} + 8 T$	$N / 2 + 2 N_{cp} + 3 T$
本文方法	$\sum_{l = 1}^{L - 1} Q_{l - 1} Q_{l}$	$\sum_{l = 1}^{L - 1} (Q_{l - 1} - 1) Q_{l}$

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参数	取值
OFDMA符号长度	1 024
循环前缀长度	128
载波频率	30 GHz
子载波间隔	60 kHz
列车速度	500 km/h
信道模型	单径莱斯信道
莱斯因子	5和10

BP neural network based Doppler frequency offset estimation method for 5G high-speed mobile system

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