Low-complexity channel estimation in massive MIMO based on Kaptyn series expansion
In order to reduce the complexity of the massive MIMO channel estimation, a channel estimation method based on Kapteyn series expansion was proposed. By using Taylor series to expand the inversion, the complexity was greatly reduced. In order to improve the Taylor-MMSE estimation of the convergence...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | zho |
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Beijing Xintong Media Co., Ltd
2016-12-01
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| Series: | Dianxin kexue |
| Subjects: | |
| Online Access: | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2016324/ |
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| _version_ | 1841530057783246848 |
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| author | Bing WANG Zhengquan LI Feng YAN Lianfeng SHEN |
| author_facet | Bing WANG Zhengquan LI Feng YAN Lianfeng SHEN |
| author_sort | Bing WANG |
| collection | DOAJ |
| description | In order to reduce the complexity of the massive MIMO channel estimation, a channel estimation method based on Kapteyn series expansion was proposed. By using Taylor series to expand the inversion, the complexity was greatly reduced. In order to improve the Taylor-MMSE estimation of the convergence rate, Kapteyn series was used to expand covariance matrix. The simulation result shows that the mean square error of Kapteyn-MMSE estimation converges faster than Taylor-MSME. It is insufficient that the complexity of Kapteyn-MMSE slightly higher than the complexity of Taylor-MMSE, but still far less than the complexity of classical MMSE algorithm. |
| format | Article |
| id | doaj-art-68a171312e7f4ffba7ddaec361ab19a9 |
| institution | Kabale University |
| issn | 1000-0801 |
| language | zho |
| publishDate | 2016-12-01 |
| publisher | Beijing Xintong Media Co., Ltd |
| record_format | Article |
| series | Dianxin kexue |
| spelling | doaj-art-68a171312e7f4ffba7ddaec361ab19a92025-01-15T03:13:41ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012016-12-0132757959605466Low-complexity channel estimation in massive MIMO based on Kaptyn series expansionBing WANGZhengquan LIFeng YANLianfeng SHENIn order to reduce the complexity of the massive MIMO channel estimation, a channel estimation method based on Kapteyn series expansion was proposed. By using Taylor series to expand the inversion, the complexity was greatly reduced. In order to improve the Taylor-MMSE estimation of the convergence rate, Kapteyn series was used to expand covariance matrix. The simulation result shows that the mean square error of Kapteyn-MMSE estimation converges faster than Taylor-MSME. It is insufficient that the complexity of Kapteyn-MMSE slightly higher than the complexity of Taylor-MMSE, but still far less than the complexity of classical MMSE algorithm.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2016324/channel estimationTaylor seriesKapteyn seriespolynomial expansion |
| spellingShingle | Bing WANG Zhengquan LI Feng YAN Lianfeng SHEN Low-complexity channel estimation in massive MIMO based on Kaptyn series expansion Dianxin kexue channel estimation Taylor series Kapteyn series polynomial expansion |
| title | Low-complexity channel estimation in massive MIMO based on Kaptyn series expansion |
| title_full | Low-complexity channel estimation in massive MIMO based on Kaptyn series expansion |
| title_fullStr | Low-complexity channel estimation in massive MIMO based on Kaptyn series expansion |
| title_full_unstemmed | Low-complexity channel estimation in massive MIMO based on Kaptyn series expansion |
| title_short | Low-complexity channel estimation in massive MIMO based on Kaptyn series expansion |
| title_sort | low complexity channel estimation in massive mimo based on kaptyn series expansion |
| topic | channel estimation Taylor series Kapteyn series polynomial expansion |
| url | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2016324/ |
| work_keys_str_mv | AT bingwang lowcomplexitychannelestimationinmassivemimobasedonkaptynseriesexpansion AT zhengquanli lowcomplexitychannelestimationinmassivemimobasedonkaptynseriesexpansion AT fengyan lowcomplexitychannelestimationinmassivemimobasedonkaptynseriesexpansion AT lianfengshen lowcomplexitychannelestimationinmassivemimobasedonkaptynseriesexpansion |