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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Format: | Article |
Language: | zho |
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Editorial Department of Journal on Communications
2022-01-01
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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 |