Efficient model-and-data based channel estimation algorithm

For orthogonal frequency division multiplexing (OFDM) systems, a hybrid model and data driven channel estimation algorithm was proposed.Combined with two existing channel estimation methods, including a low complex learning-based channel estimation method and the linear minimum mean square error (LM...

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Main Authors: Kai MEI, Haitao ZHAO, Xiaoran LIU, Jun LIU, Jun XIONG, Baoquan REN, Jibo WEI
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2022-01-01
Series:Tongxin xuebao
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Online Access:http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2022019/
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author Kai MEI
Haitao ZHAO
Xiaoran LIU
Jun LIU
Jun XIONG
Baoquan REN
Jibo WEI
author_facet Kai MEI
Haitao ZHAO
Xiaoran LIU
Jun LIU
Jun XIONG
Baoquan REN
Jibo WEI
author_sort Kai MEI
collection DOAJ
description For orthogonal frequency division multiplexing (OFDM) systems, a hybrid model and data driven channel estimation algorithm was proposed.Combined with two existing channel estimation methods, including a low complex learning-based channel estimation method and the linear minimum mean square error (LMMSE) channel estimation, the estimator with the ability was facilitated to employ online training to improve estimation performance.Meanwhile, the pilot overhead consumed by generating online training data was saved due to the use of the model-based method in the proposed algorithm, which improved the spectrum efficiency.The simulation results demonstrate that the proposed algorithm has better performance under low signal-to-noise ratio (SNR) and better adaptation to practical imperfections compared with conventional channel estimation methods.
format Article
id doaj-art-c0e2e4bf36f64dd58eab9918e2d9e9c6
institution Kabale University
issn 1000-436X
language zho
publishDate 2022-01-01
publisher Editorial Department of Journal on Communications
record_format Article
series Tongxin xuebao
spelling doaj-art-c0e2e4bf36f64dd58eab9918e2d9e9c62025-01-14T06:30:26ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2022-01-0143597059398275Efficient model-and-data based channel estimation algorithmKai MEIHaitao ZHAOXiaoran LIUJun LIUJun XIONGBaoquan RENJibo WEIFor orthogonal frequency division multiplexing (OFDM) systems, a hybrid model and data driven channel estimation algorithm was proposed.Combined with two existing channel estimation methods, including a low complex learning-based channel estimation method and the linear minimum mean square error (LMMSE) channel estimation, the estimator with the ability was facilitated to employ online training to improve estimation performance.Meanwhile, the pilot overhead consumed by generating online training data was saved due to the use of the model-based method in the proposed algorithm, which improved the spectrum efficiency.The simulation results demonstrate that the proposed algorithm has better performance under low signal-to-noise ratio (SNR) and better adaptation to practical imperfections compared with conventional channel estimation methods.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2022019/machine learninghybrid model and data drivenOFDMchannel estimation
spellingShingle Kai MEI
Haitao ZHAO
Xiaoran LIU
Jun LIU
Jun XIONG
Baoquan REN
Jibo WEI
Efficient model-and-data based channel estimation algorithm
Tongxin xuebao
machine learning
hybrid model and data driven
OFDM
channel estimation
title Efficient model-and-data based channel estimation algorithm
title_full Efficient model-and-data based channel estimation algorithm
title_fullStr Efficient model-and-data based channel estimation algorithm
title_full_unstemmed Efficient model-and-data based channel estimation algorithm
title_short Efficient model-and-data based channel estimation algorithm
title_sort efficient model and data based channel estimation algorithm
topic machine learning
hybrid model and data driven
OFDM
channel estimation
url http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2022019/
work_keys_str_mv AT kaimei efficientmodelanddatabasedchannelestimationalgorithm
AT haitaozhao efficientmodelanddatabasedchannelestimationalgorithm
AT xiaoranliu efficientmodelanddatabasedchannelestimationalgorithm
AT junliu efficientmodelanddatabasedchannelestimationalgorithm
AT junxiong efficientmodelanddatabasedchannelestimationalgorithm
AT baoquanren efficientmodelanddatabasedchannelestimationalgorithm
AT jibowei efficientmodelanddatabasedchannelestimationalgorithm