准正交空时分组码系统的一种盲信道估计方法

空时分组码(STBC)系统的经典信道盲估计方法,如子空间法(SS)等,都是基于接收端样本自相关矩阵的特征值分解(EVD)或奇异值分解(SVD)来实现信道估计的,而基于QR分解的信道盲估计方法是一种性能优良的新算法.文中将该算法应用到准正交空时分组码系统的信道估计中,结合准正交空时分组码的特性提出了一种新的信道盲估计算法.与以上经典的信道盲估计算法相比,文中提出的算法的计算量大为降低.同时Monte-Carlo仿真表明,当信噪比较低时,该算法比子空间法有更好的性能.

Blind Channel Estimation for Quasi-Orthogonal Space-time Block Codes

Traditional blind estimation methods for space-time block code(STBC),such as subspace(SS) method,are based on the eigenvalue decomposition(EVD) or singular value decomposition(SVD) of the received signal's correlation matrix,while the QR factorization-based blind estimation algorithm is a new algorithm with good performance and without calculating the correlation matrix.In this paper,by combining the QR factorization-based algorithm with the special structure of quasi-orthogonal STBC(QOSTBC),a new blind estimation algorithm in QOSTBC is proposed.Compared with the traditional blind estimation methods,the algorithm has much lower computational costs.And the Monte-Carlo simulations show that when the SNR is slow,the algorithm is better than SS-based blind estimation algorithm.