A PARAFAC Blind Signal Detection Algorithm for AAF-MH Cooperative Scheme
Ziwei Hu · Beijing Youdian Xueyuan xuebao · 2013
The decoding of multi-hop Alamouti amplify and forward(AAF-MH) cooperation scheme usually needs channel state information,which is difficult to acquire in practical systems.To solve this problem,a parallel factor(PARAFAC)-based blind signal detection algorithm is proposed.This algorithm transforms received signals into a PARAFAC model which contains channel and signal information,and uses the bilinear alternating least square for the global convergence.Compared with constant modulus algorithm,the proposed algorithm is with better performance,such as more stable fitting results,and can realize uniqueness of parameter estimation.Simulation is given to support the analysis.