Low-complexity sparse channel estimation for massive MIMO systems
Due to the high computational complexity of massive MIMO system,a low-complexity sparse channel estimation algorithm was proposed utilizing the inherent sparsity of the wireless communication channel to improve the estimation performance.The proposed algorithm separated channel tap from noise space...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | zho |
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Beijing Xintong Media Co., Ltd
2016-05-01
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| Series: | Dianxin kexue |
| Subjects: | |
| Online Access: | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2016149/ |
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| _version_ | 1841529855963824128 |
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| author | Xin FANG Yunju LIU Haiyan CAO Peng PAN |
| author_facet | Xin FANG Yunju LIU Haiyan CAO Peng PAN |
| author_sort | Xin FANG |
| collection | DOAJ |
| description | Due to the high computational complexity of massive MIMO system,a low-complexity sparse channel estimation algorithm was proposed utilizing the inherent sparsity of the wireless communication channel to improve the estimation performance.The proposed algorithm separated channel tap from noise space based on the traditional discrete Fourier transform by adopting integral separation algorithm.This channel estimation algorithm need only calculate the channel tap,thus markedly reducing complexity of the algorithm.Numerical simulations show that proposed algorithm can approach to the performance of the minimum mean-square error estimator while maintaining lower complexity. |
| format | Article |
| id | doaj-art-13e34959bdb54eed8c32c158660d2731 |
| institution | Kabale University |
| issn | 1000-0801 |
| language | zho |
| publishDate | 2016-05-01 |
| publisher | Beijing Xintong Media Co., Ltd |
| record_format | Article |
| series | Dianxin kexue |
| spelling | doaj-art-13e34959bdb54eed8c32c158660d27312025-01-15T03:14:53ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012016-05-0132899559608870Low-complexity sparse channel estimation for massive MIMO systemsXin FANGYunju LIUHaiyan CAOPeng PANDue to the high computational complexity of massive MIMO system,a low-complexity sparse channel estimation algorithm was proposed utilizing the inherent sparsity of the wireless communication channel to improve the estimation performance.The proposed algorithm separated channel tap from noise space based on the traditional discrete Fourier transform by adopting integral separation algorithm.This channel estimation algorithm need only calculate the channel tap,thus markedly reducing complexity of the algorithm.Numerical simulations show that proposed algorithm can approach to the performance of the minimum mean-square error estimator while maintaining lower complexity.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2016149/massive MIMOchannel estimationsparsityalgorithm complexity |
| spellingShingle | Xin FANG Yunju LIU Haiyan CAO Peng PAN Low-complexity sparse channel estimation for massive MIMO systems Dianxin kexue massive MIMO channel estimation sparsity algorithm complexity |
| title | Low-complexity sparse channel estimation for massive MIMO systems |
| title_full | Low-complexity sparse channel estimation for massive MIMO systems |
| title_fullStr | Low-complexity sparse channel estimation for massive MIMO systems |
| title_full_unstemmed | Low-complexity sparse channel estimation for massive MIMO systems |
| title_short | Low-complexity sparse channel estimation for massive MIMO systems |
| title_sort | low complexity sparse channel estimation for massive mimo systems |
| topic | massive MIMO channel estimation sparsity algorithm complexity |
| url | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2016149/ |
| work_keys_str_mv | AT xinfang lowcomplexitysparsechannelestimationformassivemimosystems AT yunjuliu lowcomplexitysparsechannelestimationformassivemimosystems AT haiyancao lowcomplexitysparsechannelestimationformassivemimosystems AT pengpan lowcomplexitysparsechannelestimationformassivemimosystems |