Channel estimation method based on compressive sensing for FBMC/OQAM system
In mobile-to-mobile sensor networks,the channel estimation for FBMC/OQAM system can be investigated as a compressive sensing problem to raise frequency spectrum efficiency by exploiting the sparse nature of wireless channels.Firstly,a novel orthogonal matching pursuit algorithm with selection weak s...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2019-12-01
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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.2019239/ |
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| _version_ | 1841539396042489856 |
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| author | Weina YUAN Qiu YAN |
| author_facet | Weina YUAN Qiu YAN |
| author_sort | Weina YUAN |
| collection | DOAJ |
| description | In mobile-to-mobile sensor networks,the channel estimation for FBMC/OQAM system can be investigated as a compressive sensing problem to raise frequency spectrum efficiency by exploiting the sparse nature of wireless channels.Firstly,a novel orthogonal matching pursuit algorithm with selection weak strategy and regularization based on Tanimoto coefficient (T-SWROMP) was proposed to improve the accuracy of LS channel estimation.Then,T-SWROMP methods with auxiliary pilot and coding were used to estimate channel frequency response for FBMC/OQAM system.The experimental results demonstrate the proposed method has lower complexity than the traditional SWOMP method.In addition,it achieve best performance among the traditional OMP,SWOMP and ROMP methods under dual-selective channels. |
| format | Article |
| id | doaj-art-fb66deffd3b244b7876d849d44918e78 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2019-12-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-fb66deffd3b244b7876d849d44918e782025-01-14T07:18:05ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2019-12-01409810459730854Channel estimation method based on compressive sensing for FBMC/OQAM systemWeina YUANQiu YANIn mobile-to-mobile sensor networks,the channel estimation for FBMC/OQAM system can be investigated as a compressive sensing problem to raise frequency spectrum efficiency by exploiting the sparse nature of wireless channels.Firstly,a novel orthogonal matching pursuit algorithm with selection weak strategy and regularization based on Tanimoto coefficient (T-SWROMP) was proposed to improve the accuracy of LS channel estimation.Then,T-SWROMP methods with auxiliary pilot and coding were used to estimate channel frequency response for FBMC/OQAM system.The experimental results demonstrate the proposed method has lower complexity than the traditional SWOMP method.In addition,it achieve best performance among the traditional OMP,SWOMP and ROMP methods under dual-selective channels.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2019239/FBMC/OQAMcompressive sensingTanimoto coefficientselection weak strategyregularization |
| spellingShingle | Weina YUAN Qiu YAN Channel estimation method based on compressive sensing for FBMC/OQAM system Tongxin xuebao FBMC/OQAM compressive sensing Tanimoto coefficient selection weak strategy regularization |
| title | Channel estimation method based on compressive sensing for FBMC/OQAM system |
| title_full | Channel estimation method based on compressive sensing for FBMC/OQAM system |
| title_fullStr | Channel estimation method based on compressive sensing for FBMC/OQAM system |
| title_full_unstemmed | Channel estimation method based on compressive sensing for FBMC/OQAM system |
| title_short | Channel estimation method based on compressive sensing for FBMC/OQAM system |
| title_sort | channel estimation method based on compressive sensing for fbmc oqam system |
| topic | FBMC/OQAM compressive sensing Tanimoto coefficient selection weak strategy regularization |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2019239/ |
| work_keys_str_mv | AT weinayuan channelestimationmethodbasedoncompressivesensingforfbmcoqamsystem AT qiuyan channelestimationmethodbasedoncompressivesensingforfbmcoqamsystem |