Joint channel and impulsive noise estimation method based on approximate message passing for NOMA systems
To address the channel estimation problem for non-orthogonal multiple access (NOMA) systems under non-Gaussian impulsive noise, a joint channel and impulsive noise estimation method based on approximate message passing was proposed, by exploiting the joint sparsity of the channel and impulsive noise...
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| Format: | Article |
| Language: | zho |
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Beijing Xintong Media Co., Ltd
2024-09-01
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| Series: | Dianxin kexue |
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| Online Access: | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2024205/ |
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| _version_ | 1841528873482715136 |
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| author | LI Youming MA Chongya WU Yonghong GUO Qiang |
| author_facet | LI Youming MA Chongya WU Yonghong GUO Qiang |
| author_sort | LI Youming |
| collection | DOAJ |
| description | To address the channel estimation problem for non-orthogonal multiple access (NOMA) systems under non-Gaussian impulsive noise, a joint channel and impulsive noise estimation method based on approximate message passing was proposed, by exploiting the joint sparsity of the channel and impulsive noise. Firstly, based on sparse Bayesian learning theory, a compressed sensing equation was constructed by using all subcarriers, and then a joint estimation optimization problem for the channel, impulsive noise, and data symbols was proposed. To address this hyperparameter nonlinear non-convex problem, an expectation maximization (EM) implementation algorithm based on Gaussian generalized approximation message passing and sparse Bayesian learning (SBL) theory was designed. Simulation results show that compared to the SBL method based on EM, the proposed algorithm exhibited a slight degradation in terms of mean square error (MSE) for channel and impulsive noise estimation, bit error rate (BER). However, the complexity of the proposed algorithm was reduced by one order of magnitude. |
| format | Article |
| id | doaj-art-97c3b632b8c840f193cc1fd08b1d873a |
| institution | Kabale University |
| issn | 1000-0801 |
| language | zho |
| publishDate | 2024-09-01 |
| publisher | Beijing Xintong Media Co., Ltd |
| record_format | Article |
| series | Dianxin kexue |
| spelling | doaj-art-97c3b632b8c840f193cc1fd08b1d873a2025-01-15T03:33:59ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012024-09-0140445373366122Joint channel and impulsive noise estimation method based on approximate message passing for NOMA systemsLI YoumingMA ChongyaWU YonghongGUO QiangTo address the channel estimation problem for non-orthogonal multiple access (NOMA) systems under non-Gaussian impulsive noise, a joint channel and impulsive noise estimation method based on approximate message passing was proposed, by exploiting the joint sparsity of the channel and impulsive noise. Firstly, based on sparse Bayesian learning theory, a compressed sensing equation was constructed by using all subcarriers, and then a joint estimation optimization problem for the channel, impulsive noise, and data symbols was proposed. To address this hyperparameter nonlinear non-convex problem, an expectation maximization (EM) implementation algorithm based on Gaussian generalized approximation message passing and sparse Bayesian learning (SBL) theory was designed. Simulation results show that compared to the SBL method based on EM, the proposed algorithm exhibited a slight degradation in terms of mean square error (MSE) for channel and impulsive noise estimation, bit error rate (BER). However, the complexity of the proposed algorithm was reduced by one order of magnitude.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2024205/non-orthogonal multiple accesschannel estimationimpulsive noise estimationsparse Bayesian learningapproximate message passing |
| spellingShingle | LI Youming MA Chongya WU Yonghong GUO Qiang Joint channel and impulsive noise estimation method based on approximate message passing for NOMA systems Dianxin kexue non-orthogonal multiple access channel estimation impulsive noise estimation sparse Bayesian learning approximate message passing |
| title | Joint channel and impulsive noise estimation method based on approximate message passing for NOMA systems |
| title_full | Joint channel and impulsive noise estimation method based on approximate message passing for NOMA systems |
| title_fullStr | Joint channel and impulsive noise estimation method based on approximate message passing for NOMA systems |
| title_full_unstemmed | Joint channel and impulsive noise estimation method based on approximate message passing for NOMA systems |
| title_short | Joint channel and impulsive noise estimation method based on approximate message passing for NOMA systems |
| title_sort | joint channel and impulsive noise estimation method based on approximate message passing for noma systems |
| topic | non-orthogonal multiple access channel estimation impulsive noise estimation sparse Bayesian learning approximate message passing |
| url | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2024205/ |
| work_keys_str_mv | AT liyouming jointchannelandimpulsivenoiseestimationmethodbasedonapproximatemessagepassingfornomasystems AT machongya jointchannelandimpulsivenoiseestimationmethodbasedonapproximatemessagepassingfornomasystems AT wuyonghong jointchannelandimpulsivenoiseestimationmethodbasedonapproximatemessagepassingfornomasystems AT guoqiang jointchannelandimpulsivenoiseestimationmethodbasedonapproximatemessagepassingfornomasystems |