Tensor-Based Semi-Blind Channel Estimation Method for Three-Hop MIMO Relay Systems
[1]Mu Xiaomin,Liu Yue,Li Shuangzhi,et al.Tensor-Based Semi-Blind Channel Estimation Method for Three-Hop MIMO Relay Systems[J].Journal of Zhengzhou University (Engineering Science),2016,37(06):83-83.[doi:10.13705/j.issn.1671-6833.2016.03.030]
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Journal of Zhengzhou University (Engineering Science)[ISSN
1671-6833/CN
41-1339/T] Volume:
37
Number of periods:
2016 06
Page number:
83-83
Column:
Public date:
2016-12-31
- Title:
- Tensor-Based Semi-Blind Channel Estimation Method for Three-Hop MIMO Relay Systems
- Keywords:
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MIMO multi-relay system; Semi-blind channel estimation; tensor decom position; two-stage iterative algorithm
- CLC:
- -
- Abstract:
- A novel semi-blind channel estimation was devised to jointly estimate the channel matrices of all links in a three-hop multiple-input multiple-output relay system. A PARAFAC and a PARATUCK2 tensor model of the received signal were constructed, and the proposed algorithm used a two-stage iterative fitting al-gorithm for tensor model. The ALS algorithm was used to fit the PARAFAC tensor model in the process of esti-mating the compound channel matrix. Then the TALS algorithm was used to fit the PARATUCK2 tensor model in the process of extracting all the sub-channel matrices. The proposed algorithm could loose the limitation on the number of antennas at the destination node. Moreover, compared with existing methods, the proposed al-gorithm could avoid error propagation as well as improve the spectral efficiency with few pilots. Numerical ex-amples demonstrated the effectiveness of the proposed algorithm.
- References:
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