Sparsity adaptive channel estimation algorithm based on compressive sensing for massive MIMO systems
A sparsity-adaptive channel estimation algorithm based on compressive sensing was proposed for massive MIMO systems when the number of channel multi-paths was unknown.By exploiting the joint sparsity characteristics of the sub-channels，the proposed block sparsity adaptive matching pursuit (BSAMP) al...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2017-12-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2017291/ |
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| _version_ | 1841539526149799936 |
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| author | Li-jun GE Hui GUO Yue LI Lan ZHAO |
| author_facet | Li-jun GE Hui GUO Yue LI Lan ZHAO |
| author_sort | Li-jun GE |
| collection | DOAJ |
| description | A sparsity-adaptive channel estimation algorithm based on compressive sensing was proposed for massive MIMO systems when the number of channel multi-paths was unknown.By exploiting the joint sparsity characteristics of the sub-channels，the proposed block sparsity adaptive matching pursuit (BSAMP) algorithm first selected atoms by setting a threshold and finding the position of the maximum backward difference，which reduces the energy dispersion caused by the non-orthogonality of the observation matrix and improves the performance of the algorithm.Then a regularization method was utilized to improve the stability of the algorithm.Simulation results demonstrate that the proposed algorithm recovers the channel state information accurately and shows a high computational efficiency. |
| format | Article |
| id | doaj-art-9cbafe99887043ed87ed02d193d24233 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2017-12-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-9cbafe99887043ed87ed02d193d242332025-01-14T07:13:27ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2017-12-0138576259713776Sparsity adaptive channel estimation algorithm based on compressive sensing for massive MIMO systemsLi-jun GEHui GUOYue LILan ZHAOA sparsity-adaptive channel estimation algorithm based on compressive sensing was proposed for massive MIMO systems when the number of channel multi-paths was unknown.By exploiting the joint sparsity characteristics of the sub-channels，the proposed block sparsity adaptive matching pursuit (BSAMP) algorithm first selected atoms by setting a threshold and finding the position of the maximum backward difference，which reduces the energy dispersion caused by the non-orthogonality of the observation matrix and improves the performance of the algorithm.Then a regularization method was utilized to improve the stability of the algorithm.Simulation results demonstrate that the proposed algorithm recovers the channel state information accurately and shows a high computational efficiency.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2017291/massive MIMOcompressive sensingchannel estimationsparsity adaptive |
| spellingShingle | Li-jun GE Hui GUO Yue LI Lan ZHAO Sparsity adaptive channel estimation algorithm based on compressive sensing for massive MIMO systems Tongxin xuebao massive MIMO compressive sensing channel estimation sparsity adaptive |
| title | Sparsity adaptive channel estimation algorithm based on compressive sensing for massive MIMO systems |
| title_full | Sparsity adaptive channel estimation algorithm based on compressive sensing for massive MIMO systems |
| title_fullStr | Sparsity adaptive channel estimation algorithm based on compressive sensing for massive MIMO systems |
| title_full_unstemmed | Sparsity adaptive channel estimation algorithm based on compressive sensing for massive MIMO systems |
| title_short | Sparsity adaptive channel estimation algorithm based on compressive sensing for massive MIMO systems |
| title_sort | sparsity adaptive channel estimation algorithm based on compressive sensing for massive mimo systems |
| topic | massive MIMO compressive sensing channel estimation sparsity adaptive |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2017291/ |
| work_keys_str_mv | AT lijunge sparsityadaptivechannelestimationalgorithmbasedoncompressivesensingformassivemimosystems AT huiguo sparsityadaptivechannelestimationalgorithmbasedoncompressivesensingformassivemimosystems AT yueli sparsityadaptivechannelestimationalgorithmbasedoncompressivesensingformassivemimosystems AT lanzhao sparsityadaptivechannelestimationalgorithmbasedoncompressivesensingformassivemimosystems |