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多跳Alamouti放大转发(AAF-MH)协作方案的译码通常需要获取信道状态信息(CSI),在实际系统中,CSI的获取比较困难.针对此问题,提出了一种基于平行因子(PARAFAC)的盲信号检测方法.该方法将接收信号构建为包含信道、信号信息的PARAFAC模型,并使用双线性最小二乘算法进行拟合,以保证结果的全局收敛性.与恒模方法相比,该方法的拟合结果具有稳定性,并能实现参数估计的唯一性,在检测性能方面更具优势.仿真结果验证了理论分析的正确性.
In the real system, it is difficult to obtain the CSI in the decoding of the multi-hop Alamouti amplification and forwarding (AAF-MH) cooperation scheme.Aiming at this problem, we propose a PARAFAC- Blind signal detection method is proposed in this paper.The received signal is constructed as a PARAFAC model containing channel and signal information and fitted by using a bilinear least squares algorithm to ensure the global convergence of the result.Compared with the constant mode method, The fitting result of the method is stable, and can achieve the uniqueness of the parameter estimation, which has more advantages in the detection performance. The simulation results verify the correctness of the theoretical analysis.