一种基于PARAFAC模型的MIMO中继系统信道估计方法

为了有效地估计两跳放大转发(AF)多输入多输出(MIMO)中继系统的信道状态信息(CSI),提出了一种基于平行因子(PARAFAC)模型的信道估计方法。在信宿,该方法通过对接收信号构造PARAFAC模型,采用所提的复值最优交替最小二乘(CALS)拟合算法就能估计出该通信系统中所有的CSI。与已有的信道估计方法相比,所提方法需要较少的信道训练数据块和具有更高的信道估计精度。仿真结果验证了所提方法的有效性。

A PARAFAC-Based Channel Estimation Method for MIMO Relay Systems

We propose a PARAFAC-based channel estimation method for two-hop amplify-and-forward (AF) multiple-input multiple-output (MIMO) relay systems. Through constructing PARAFAC model to the received signal matrices, full channel state information (CSI) involved in the communication can be estimated at the destination node by using the proposed optimal complex value alternating least-squares (CALS) algorithm. Compared with existing approaches, the proposed method requires less number of training data blocks and has higher channel estimation accuracy. Simulation results are shown to demonstrate the effectiveness of the proposed channel estimation method.