Research on channel estimation algorithm of MIMO relay system based on PARAFAC model

Abstract

For the semi-blind estimation problem of two-hop multi-input multi-output amplified forwarding (MIMO-AF) relay system, the parallel factor (PARAFAC) model is constructed for the received signal. Using the uniqueness of its decomposition, an ALS-LS algorithm is proposed. Based on the algorithm of least squares alternating (ALS) and adding relaxation factor, the ALS algorithm is used to achieve certain convergence conditions. The estimation result of the former algorithm is taken as the initial value, and then based on the ALS algorithm adding relaxation factor, using the relaxation factor to change the gradient direction, so as to speed up the convergence rate. And the performance of the channel model is analyzed by different parameters of the channel model. Simulation results show: compared with the existing least squares alternate algorithm, the complexity and iteration times of the algorithm are reduced, and the convergence speed of the algorithm is accelerated.