MIMO中继系统中一种联合信号检测与信道估计方法

摘要

针对多输入多输出(MIMO)放大转发(AF)中继系统,提出了一种联合信号检测与信道估计方法.该方法通过在信源端采用Khatri-Rao空时(KRST)预编码方案,在信宿端对接收的信号构造平行因子(PARAFAC)模型,并采用两步交替迭代最小二乘(ALS)算法对该模型进行拟合,从而实现信号与信道的联合估计.此外,详细分析系统参数对所提方法性能的影响.理论分析与仿真结果表明,在未知信道状态(CSI)的情况下,所提方法能有效进行信号估计,并估计出组合信道的CSI.%A joint signal detection and channel estimation method is proposed for MIMO (Multiple Inputs Multiple Output) AF (Amplify and Forward) relay systems. This method constructs a parallel factor (PARAFAC) model for the received signal at the destination node by using KRST (Khatri-Rao Space Time) precoding scheme at the source node. Then the two-step AILS (Alternating Iterative Least Squares) algorithm is used to fit the model, so that the joint estimation of signal and channel can be achieved. In addition, the influence of system parameters on the performance of the proposed method is analyzed in detail. Theoretical analysis and simulation results indicate that the proposed method can effectively estimate the signal in CSI, and also CSI of the combined channel.