Channel estimation method for massive MIMO system in Rice channel
The high-speed mobile transportations,such as high-speed rails,pilot-less airplanes,are mostly in the open areas.Due to the existence of line of sight (LOS) propagations,the Rayleigh fading model can not describe the channels very well in these environments.The Rice fading channel model is constitut...
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| Format: | Article |
| Language: | zho |
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Beijing Xintong Media Co., Ltd
2017-09-01
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| Series: | Dianxin kexue |
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| Online Access: | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2017257/ |
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| author | Xueli WANG Haiquan WANG Xiao LI Dakuan YANG |
| author_facet | Xueli WANG Haiquan WANG Xiao LI Dakuan YANG |
| author_sort | Xueli WANG |
| collection | DOAJ |
| description | The high-speed mobile transportations,such as high-speed rails,pilot-less airplanes,are mostly in the open areas.Due to the existence of line of sight (LOS) propagations,the Rayleigh fading model can not describe the channels very well in these environments.The Rice fading channel model is constituted of a LOS component and a multiple-path component,which can characterize the channels more accurately.Based on the Rice model,the improved channel estimation methods and corresponding decoding methods were proposed based on the superimposed training sequences for massive multiple input multiple output (MIMO) system.The improved channel estimation methods were divided into two cases:the LOS component was known to the receiver and the other was unknown.The numerical simulation results show that the superiority of the proposed methods. |
| format | Article |
| id | doaj-art-2c7356d83f744f83b0cc4e45a35b7648 |
| institution | Kabale University |
| issn | 1000-0801 |
| language | zho |
| publishDate | 2017-09-01 |
| publisher | Beijing Xintong Media Co., Ltd |
| record_format | Article |
| series | Dianxin kexue |
| spelling | doaj-art-2c7356d83f744f83b0cc4e45a35b76482025-01-15T03:06:06ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012017-09-0133101959599967Channel estimation method for massive MIMO system in Rice channelXueli WANGHaiquan WANGXiao LIDakuan YANGThe high-speed mobile transportations,such as high-speed rails,pilot-less airplanes,are mostly in the open areas.Due to the existence of line of sight (LOS) propagations,the Rayleigh fading model can not describe the channels very well in these environments.The Rice fading channel model is constituted of a LOS component and a multiple-path component,which can characterize the channels more accurately.Based on the Rice model,the improved channel estimation methods and corresponding decoding methods were proposed based on the superimposed training sequences for massive multiple input multiple output (MIMO) system.The improved channel estimation methods were divided into two cases:the LOS component was known to the receiver and the other was unknown.The numerical simulation results show that the superiority of the proposed methods.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2017257/massive MIMO systemRice fading channelsuperimposed training sequencechannel estimation |
| spellingShingle | Xueli WANG Haiquan WANG Xiao LI Dakuan YANG Channel estimation method for massive MIMO system in Rice channel Dianxin kexue massive MIMO system Rice fading channel superimposed training sequence channel estimation |
| title | Channel estimation method for massive MIMO system in Rice channel |
| title_full | Channel estimation method for massive MIMO system in Rice channel |
| title_fullStr | Channel estimation method for massive MIMO system in Rice channel |
| title_full_unstemmed | Channel estimation method for massive MIMO system in Rice channel |
| title_short | Channel estimation method for massive MIMO system in Rice channel |
| title_sort | channel estimation method for massive mimo system in rice channel |
| topic | massive MIMO system Rice fading channel superimposed training sequence channel estimation |
| url | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2017257/ |
| work_keys_str_mv | AT xueliwang channelestimationmethodformassivemimosysteminricechannel AT haiquanwang channelestimationmethodformassivemimosysteminricechannel AT xiaoli channelestimationmethodformassivemimosysteminricechannel AT dakuanyang channelestimationmethodformassivemimosysteminricechannel |