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针对多输入多输出(MIMO)通信系统,文中提出一种基于信号子空间(SigSS)的MIMO信道盲辨识新方法。该方法通过将信号空间分成若干个信号子空间,形成最小信号子空间,然后在各个信号子空间中分别进行信道盲估计,再将产生的分信道矩阵合并,形成所需的信道。通过这种机制,将大大降低算法的计算量。本文将子空间法(SS)和线性预测法(LP)用于这种基于SigSS的MIMO盲辨识方法并分析了基于SigSS的LP法的计算量,给出相应仿真结果,并与原来的LP法进行比较。
Aiming at multiple input multiple output (MIMO) communication system, a new blind identification method based on signal subspace (SigSS) is proposed. In this method, the signal space is divided into several signal subspaces to form the minimum signal subspace, and then the channel blind estimation is performed separately in each signal subspace, and then the resulting sub-channel matrices are combined to form the desired channel. Through this mechanism, it will greatly reduce the computational complexity of the algorithm. In this paper, subspace method (SS) and linear prediction method (LP) are applied to this SigSS-based MIMO blind identification method and the calculation of LPSS based on SigSS is analyzed. The corresponding simulation results are given and compared with the original LP method Compare.