Abstract：Traditional blind identification methods for SIMO channels,such as subspace method (SS),etc.,are based on the eigen value decomposition (EVD) or singular value decomposition (SVD) of the received signal's correlation matrix,which may need more data to make the estimation of correlation matrix be accurate.Recently a QR factorization based blind identification algorithm for SIMO channels with good performance and without calculating the correlation matrix is proposed.In this paper,we extend the QR factorization based algorithm for the blind identification of MIMO channels,and we then proved the extended algorithm to be valid for a more generalized case,that is,the source signals are spatially related.Simulations demonstrate that the QR-based identification algorithms for MIMO channels preserves advantages of fast convergence,low computational costs,and robustness to noise.We also compare the performance of the QR-based method with that of traditional MIMO blind identification algorithms.
丛 进;杨绿溪. 基于QR分解的MIMO信道盲辨识和盲均衡方法[J]. 电子学报, 2004, 32(10): 1589-1593.
CONG Jin;YANG Lu-xi. Blind Identification and Blind Equalization of MIMO Channels Based on QR Factorization. Chinese Journal of Electronics, 2004, 32(10): 1589-1593.