BP neural network based Doppler frequency offset estimation method for 5G high-speed mobile system
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 t...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | zho |
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Beijing Xintong Media Co., Ltd
2020-04-01
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| Series: | Dianxin kexue |
| Subjects: | |
| Online Access: | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2020124/ |
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| _version_ | 1841530624355074048 |
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| author | Zenghao WANG Lihua YANG Lu CHENG Jie ZHANG Yan LIANG |
| author_facet | Zenghao WANG Lihua YANG Lu CHENG Jie ZHANG Yan LIANG |
| author_sort | Zenghao WANG |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-cde10213b400404c865643e9cd109669 |
| institution | Kabale University |
| issn | 1000-0801 |
| language | zho |
| publishDate | 2020-04-01 |
| publisher | Beijing Xintong Media Co., Ltd |
| record_format | Article |
| series | Dianxin kexue |
| spelling | doaj-art-cde10213b400404c865643e9cd1096692025-01-15T03:00:52ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012020-04-0136839059583601BP neural network based Doppler frequency offset estimation method for 5G high-speed mobile systemZenghao WANGLihua YANGLu CHENGJie ZHANGYan LIANGA 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.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2020124/5G-NRmillimeter wavehigh speed railwayBP neural networkDoppler frequency offset estimation |
| spellingShingle | 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 Dianxin kexue 5G-NR millimeter wave high speed railway BP neural network Doppler frequency offset estimation |
| title | BP neural network based Doppler frequency offset estimation method for 5G high-speed mobile system |
| title_full | BP neural network based Doppler frequency offset estimation method for 5G high-speed mobile system |
| title_fullStr | BP neural network based Doppler frequency offset estimation method for 5G high-speed mobile system |
| title_full_unstemmed | BP neural network based Doppler frequency offset estimation method for 5G high-speed mobile system |
| title_short | BP neural network based Doppler frequency offset estimation method for 5G high-speed mobile system |
| title_sort | bp neural network based doppler frequency offset estimation method for 5g high speed mobile system |
| topic | 5G-NR millimeter wave high speed railway BP neural network Doppler frequency offset estimation |
| url | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2020124/ |
| work_keys_str_mv | AT zenghaowang bpneuralnetworkbaseddopplerfrequencyoffsetestimationmethodfor5ghighspeedmobilesystem AT lihuayang bpneuralnetworkbaseddopplerfrequencyoffsetestimationmethodfor5ghighspeedmobilesystem AT lucheng bpneuralnetworkbaseddopplerfrequencyoffsetestimationmethodfor5ghighspeedmobilesystem AT jiezhang bpneuralnetworkbaseddopplerfrequencyoffsetestimationmethodfor5ghighspeedmobilesystem AT yanliang bpneuralnetworkbaseddopplerfrequencyoffsetestimationmethodfor5ghighspeedmobilesystem |