Massive MIMO channel estimation and feedback based on compressed sensing
Focused on the issue that the problem of low precision of channel estimation and complex feedback scheme in massive MIMO system,a compression sampling matching pursuit (BCC-CoSAMP) algorithm based on coefficient correlation was proposed in the differential channel estimation and feedback scheme.In t...
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| Format: | Article |
| Language: | zho |
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Beijing Xintong Media Co., Ltd
2018-12-01
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| Series: | Dianxin kexue |
| Subjects: | |
| Online Access: | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2018288/ |
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| _version_ | 1841530484667973632 |
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| author | Pan MAO Xiaoguang HUANG Wei WANG Jian SONG |
| author_facet | Pan MAO Xiaoguang HUANG Wei WANG Jian SONG |
| author_sort | Pan MAO |
| collection | DOAJ |
| description | Focused on the issue that the problem of low precision of channel estimation and complex feedback scheme in massive MIMO system,a compression sampling matching pursuit (BCC-CoSAMP) algorithm based on coefficient correlation was proposed in the differential channel estimation and feedback scheme.In this algorithm,the inner product of the relationship between two vectors in the CoSAMP algorithm was replaced by the vector relation based on the correlation coefficient,so the atoms with strong correlation of the original signal were quickly selected to improve the accuracy of channel estimation.The simulation results show that the proposed BCC-CoSAMP algorithm has an improved channel estimation accuracy compared with the CoSAMP algorithm and an average increase of the total system rate of 1.25 bit/(s.Hz) at low signal to noise ratio (SNR). |
| format | Article |
| id | doaj-art-e10ce82421e04c8f92a09c1fee5c4e9c |
| institution | Kabale University |
| issn | 1000-0801 |
| language | zho |
| publishDate | 2018-12-01 |
| publisher | Beijing Xintong Media Co., Ltd |
| record_format | Article |
| series | Dianxin kexue |
| spelling | doaj-art-e10ce82421e04c8f92a09c1fee5c4e9c2025-01-15T03:03:36ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012018-12-0134465259592307Massive MIMO channel estimation and feedback based on compressed sensingPan MAOXiaoguang HUANGWei WANGJian SONGFocused on the issue that the problem of low precision of channel estimation and complex feedback scheme in massive MIMO system,a compression sampling matching pursuit (BCC-CoSAMP) algorithm based on coefficient correlation was proposed in the differential channel estimation and feedback scheme.In this algorithm,the inner product of the relationship between two vectors in the CoSAMP algorithm was replaced by the vector relation based on the correlation coefficient,so the atoms with strong correlation of the original signal were quickly selected to improve the accuracy of channel estimation.The simulation results show that the proposed BCC-CoSAMP algorithm has an improved channel estimation accuracy compared with the CoSAMP algorithm and an average increase of the total system rate of 1.25 bit/(s.Hz) at low signal to noise ratio (SNR).http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2018288/massive MIMOcompressive sampling matching pursuitchannel estimationfeedback overhead |
| spellingShingle | Pan MAO Xiaoguang HUANG Wei WANG Jian SONG Massive MIMO channel estimation and feedback based on compressed sensing Dianxin kexue massive MIMO compressive sampling matching pursuit channel estimation feedback overhead |
| title | Massive MIMO channel estimation and feedback based on compressed sensing |
| title_full | Massive MIMO channel estimation and feedback based on compressed sensing |
| title_fullStr | Massive MIMO channel estimation and feedback based on compressed sensing |
| title_full_unstemmed | Massive MIMO channel estimation and feedback based on compressed sensing |
| title_short | Massive MIMO channel estimation and feedback based on compressed sensing |
| title_sort | massive mimo channel estimation and feedback based on compressed sensing |
| topic | massive MIMO compressive sampling matching pursuit channel estimation feedback overhead |
| url | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2018288/ |
| work_keys_str_mv | AT panmao massivemimochannelestimationandfeedbackbasedoncompressedsensing AT xiaoguanghuang massivemimochannelestimationandfeedbackbasedoncompressedsensing AT weiwang massivemimochannelestimationandfeedbackbasedoncompressedsensing AT jiansong massivemimochannelestimationandfeedbackbasedoncompressedsensing |