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

王增浩; 杨丽花; 程露; 张捷; 梁彦

doi:10.11959/j.issn.1000-0801.2020124

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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

研究与开发 | 更新时间：2024-06-05

- 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
- BP neural network based Doppler frequency offset estimation method for 5G high-speed mobile system
- 电信科学 2020年36卷第4期页码：83-90
- 作者机构：
- 作者简介：
  
  [ "王增浩（1994- ），男，南京邮电大学硕士生，主要研究方向为高速移动通信" ]
  [ "杨丽花（1984- ），女，南京邮电大学副教授，主要研究方向为移动无线通信、通信信号处理、多载波通信系统等" ]
  [ "程露（1995- ），女，南京邮电大学硕士生，主要研究方向为移动通信" ]
  [ "张捷（1996- ），女，南京邮电大学硕士生，主要研究方向为宽带移动通信" ]
  [ "梁彦（1979- ），女，南京邮电大学副教授，主要研究方向为宽带无线通信、通信信号处理等" ]
- 基金信息：
  
  江苏省科技厅自然科学基金资助项目;The National Science Foundation Program of Jiangsu Province(BK2019137);江苏省高等学校自然科学研究面上项目;The National Science Research Project of Jiangsu Higher Education Institutions(18KJ13510034);第11批中国博士后科学基金特别资助项目;The 11th Batch of China Postdoctoral Science Fund Special Funding Project(2018T110530);国家自然科学基金资助项目;The National Natural Science Foundation of China(61401232);国家自然科学基金资助项目;The National Natural Science Foundation of China(61671251);国家自然科学基金资助项目;The National Natural Science Foundation of China(61771255)
- DOI：10.11959/j.issn.1000-0801.2020124
  中图分类号： TN929.5
- 网络出版日期：2020-04，
  
  纸质出版日期：2020-04-20
- 稿件说明：
移动端阅览
王增浩, 杨丽花, 程露, 等. 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[J]. 电信科学, 2020,36(4):83-90.

Zenghao WANG, Lihua YANG, Lu CHENG, et al. BP neural network based Doppler frequency offset estimation method for 5G high-speed mobile system[J]. Telecommunications science, 2020, 36(4): 83-90.
王增浩, 杨丽花, 程露, 等. 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[J]. 电信科学, 2020,36(4):83-90. DOI： 10.11959/j.issn.1000-0801.2020124.

Zenghao WANG, Lihua YANG, Lu CHENG, et al. BP neural network based Doppler frequency offset estimation method for 5G high-speed mobile system[J]. Telecommunications science, 2020, 36(4): 83-90. DOI： 10.11959/j.issn.1000-0801.2020124.

摘要

提出了一种基于反向传播（back propagation，BP）算法训练的神经网络的多普勒频偏估计方法。所提方法主要分成线下训练与线上估计两个阶段，首先利用随机多普勒频偏与接收的导频符号构建训练样本，然后利用训练样本对BP神经网络进行线下训练，完成输入与输出数据之间的映射关系，最后基于训练后的网络利用接收导频符号数据，进行线上多普勒频偏估计。仿真结果表明，所提方法的估计性能远远优于现有方法，且具有较低的计算复杂度。

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.

关键词

Keywords

references

HU Y , LI H , CHANG Z , et al . Scheduling strategy for multimedia heterogeneous high-speed train networks [J ] . IEEE Transactions on Vehicular Technology , 2017 , 66 ( 4 ): 3265 - 3279 .

SUN N , ZHAO Y , SUN L , et al . Distributed and dynamic resource management for wireless service delivery to high-speed trains [J ] . IEEE Access , 2017 ( 5 ): 620 - 632 .

GHAZZAI H , BOUCHOUCHA T , ALSHAROA A , et al . Transmit power minimization and base station planning for high-speed trains with multiple moving relays in OFDMA systems [J ] . IEEE Transactions on Vehicular Technology , 2017 , 66 ( 1 ): 175 - 187 .

GUAN K , LI G , HUI B , et al . On millimeter wave and THz mobile radio channel for smart rail mobility [J ] . IEEE Transactions on Vehicular Technology , 2017 , 66 ( 7 ): 5658 - 5674 .

AI B , GUAN K , KURNER T , et al . Future railway services-oriented mobile communications network [J ] . IEEE Communications Magazine , 2015 , 53 ( 10 ): 78 - 85 .

LEVANEN T , TALVITIE J , WICHMAN R , et al . Location-aware 5G communications and Doppler compensation for high-speed train networks [C ] // Proceedings of 2017 European Conference on Networks and Communications . Piscataway:IEEE Press , 2017 : 1 - 6 .

CHOI S N , KIM I . Performance improvement of MHN- enhanced uplink with frequency offset compensation [C ] // Proceedings of 2017 Ninth International Conference on Ubiquitous and Future Networks . Piscataway:IEEE Press , 2017 : 788 - 790 .

FAN D , ZHONG Z , WANG G , et al . Doppler shift estimation for high-speed railway wireless communication systems with large scale linear antennas [C ] // Proceedings of 2015 International Workshop on High Mobility Wireless Communications . Piscataway:IEEE Press , 2015 : 96 - 100 .

LI J , ZHAO Y . Radio environment map-based cognitive Doppler spread compensation algorithms for high-speed rail broadband mobile communications [J ] . EURASIP Journal on Wireless Communications and Network , 2012 : 1 - 18 .

HOU Z , ZHOU Y , TIAN L , et al . Radio environment map-aided Doppler shift estimation in LTE railway [J ] . IEEE Transactions on Vehicular Technology , 2017 , 66 ( 5 ): 4462 - 4467 .

闪硕 . 多径快时变环境下的同步算法研究与实现 [D ] . 西安:西安电子科技大学 , 2017 .

SHAN S . Research and implementation of synchronization algorithm in multipath fast time varying environment [D ] . Xi’an:Xidian University , 2017 .

HUI B , KIM J , CHUNG H , et al . Efficient Doppler mitigation for high-speed rail communications [C ] // Proceedings of 2016 18th International Conference on Advanced Communication Technology . Piscataway:IEEE Press , 2016 : 1 - 2 .

ZHANG C , WANG G , HE R , et al . A Doppler shift estimator for millimeter-wave communication systems on high-speed railways [C ] // Proceedings of 2018 IEEE/CIC International Conference on communications in China . Piscataway:IEEE Press , 2018 : 227 - 231 .

MAO Q , HU F , HAO Q . Deep learning for intelligent wireless networks:a comprehensive survey [J ] . IEEE Communications Surveys ＆ Tutorials , 2018 ( 99 ):1.

ABRISHAMKAR F , IRVINE J . Comparison of current solutions for the provision of voice services to passengers on high speed trains [C ] // Proceedings of Vehicular Technology Conference Fall.[S.l.:s.n . ] , 2000 : 2068 - 2075 .

GOLLER M . Application of GSM in high speed trains:measurements and simulations [J ] . IEEE Colloquium on Radio Communications in Transportation , 1995 ( 5 ): 1 - 7 .

3GPP.Initial ideal simulation results for different high speed propagation scenarios:TSG-RAN4-37 (R4-051274) [S ] . 2005 .

YANG L H , REN G L , QIU Z L . A novel Doppler frequency offset estimation method for DVB-T system in HST environment [J ] . IEEE Transactions on Broadcasting , 2012 , 58 ( 1 ): 139 - 143 .

HORNIK K , STINCHOMBE M , WHITE H . Multilayer feedforward networks are universal approximators [J ] . Neural Networks , 1989 ( 5 ): 359 - 366 .

SONG H , FANG X , FANG Y . Millimeter-wave network architectures for future high-speed railway communications:challenges and solutions [J ] . IEEE Wireless Communications , 2016 , 23 ( 6 ): 114 - 122 .

童辉 . 5G新空口设计:如何从LTE拓展与创新 [J ] . 电信科学 , 2019 , 35 ( 7 ): 17 - 26 .

TONG H . 5G new radio design:why/how to extend/innovate from LTE [J ] . Telecommunications Science , 2019 , 35 ( 7 ): 17 - 26 .

3GPP.3rd generation partnership project; technical specification group radio access network; study on channel model for frequency spectrum above 6 GHz (Release 14):TR38.900 v14.3.1 [S ] . 2017 .

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