Joint channel and impulsive noise estimation method for OFDM systems
Aiming at the impulsive noise occurring in OFDM systems,an impulsive noise mitigation algorithm based on compressed sensing theory was proposed.The proposed algorithm firstly treated the channel impulse response and the impulsive noise as a joint sparse vector by exploiting the sparsity of both them...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2018-03-01
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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.2018047/ |
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| _version_ | 1841539450928103424 |
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| author | Xinrong LYU Youming LI Mingchen YU |
| author_facet | Xinrong LYU Youming LI Mingchen YU |
| author_sort | Xinrong LYU |
| collection | DOAJ |
| description | Aiming at the impulsive noise occurring in OFDM systems,an impulsive noise mitigation algorithm based on compressed sensing theory was proposed.The proposed algorithm firstly treated the channel impulse response and the impulsive noise as a joint sparse vector by exploiting the sparsity of both them.Then the sparse Bayesian learning framework was adopted to jointly estimate the channel impulse response,the impulsive noise and the data symbols,in which the data symbols were regarded as unknown parameters.Compared with the existing impulsive noise mitigation methods,the proposed algorithm not only utilized all subcarriers but also did not use any a priori information of the channel and impulsive noise.The simulation results show that the proposed algorithm achieves significant improvement on the channel estimation and bit error rate performance. |
| format | Article |
| id | doaj-art-abbc649b7ae746a5ace7618f9b1b3541 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2018-03-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-abbc649b7ae746a5ace7618f9b1b35412025-01-14T07:14:30ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2018-03-013919119859717301Joint channel and impulsive noise estimation method for OFDM systemsXinrong LYUYouming LIMingchen YUAiming at the impulsive noise occurring in OFDM systems,an impulsive noise mitigation algorithm based on compressed sensing theory was proposed.The proposed algorithm firstly treated the channel impulse response and the impulsive noise as a joint sparse vector by exploiting the sparsity of both them.Then the sparse Bayesian learning framework was adopted to jointly estimate the channel impulse response,the impulsive noise and the data symbols,in which the data symbols were regarded as unknown parameters.Compared with the existing impulsive noise mitigation methods,the proposed algorithm not only utilized all subcarriers but also did not use any a priori information of the channel and impulsive noise.The simulation results show that the proposed algorithm achieves significant improvement on the channel estimation and bit error rate performance.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2018047/orthogonal frequency division multiplexingchannel estimationimpulsive noisesparse Bayesian learningcompressed sensing |
| spellingShingle | Xinrong LYU Youming LI Mingchen YU Joint channel and impulsive noise estimation method for OFDM systems Tongxin xuebao orthogonal frequency division multiplexing channel estimation impulsive noise sparse Bayesian learning compressed sensing |
| title | Joint channel and impulsive noise estimation method for OFDM systems |
| title_full | Joint channel and impulsive noise estimation method for OFDM systems |
| title_fullStr | Joint channel and impulsive noise estimation method for OFDM systems |
| title_full_unstemmed | Joint channel and impulsive noise estimation method for OFDM systems |
| title_short | Joint channel and impulsive noise estimation method for OFDM systems |
| title_sort | joint channel and impulsive noise estimation method for ofdm systems |
| topic | orthogonal frequency division multiplexing channel estimation impulsive noise sparse Bayesian learning compressed sensing |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2018047/ |
| work_keys_str_mv | AT xinronglyu jointchannelandimpulsivenoiseestimationmethodforofdmsystems AT youmingli jointchannelandimpulsivenoiseestimationmethodforofdmsystems AT mingchenyu jointchannelandimpulsivenoiseestimationmethodforofdmsystems |