基于张量分解的MIMO多中继系统半盲信道估计方法-《郑州大学学报(工学版)》

文章信息/Info

Title:: Tensor-Based Semi-Blind Channel Estimation Method for Three-Hop MIMO Relay Systems

Author(s):: Mu Xiaomin; Liu Yue; Li Shuangzhi; Zhang Jiankang; School of Information Engineering, Zhengzhou University, Zhengzhou, Henan 450001

Keywords:: MIMO multi-relay system; Semi-blind channel estimation; tensor decom position; two-stage iterative algorithm

摘要:: 针对多输入多输出三跳中继系统，提出了一种基于张量分解的半盲信道估计方法。该方法通过对接收信号构造基于张量分解的PARAFAC和PARATUCK2模型，通过两阶段的迭代算法拟合张量模型。两阶段迭代算法利用ALS拟合 PARAFAC模型估计复合信道和发送信号，并利用 TALS拟合 PA-RATUCK2模型并行估计三跳信道矩阵。与已有的信道估计方法相比，该方法只需少量的导频序列便能并行估计三跳信道矩阵，不仅可以避免误差叠加，而且提高了系统的频谱利用率，仿真结果验证了其有效性。

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.