基于多级维纳滤波的原理，提出了一种改进的信号子空间估计方法。
A reduced rank method for estimating signal subspace was proposed, which was based on the principle of multistage Wiener filter.
理论分析表明，对广义分数低阶空时矩阵进行奇异值分解可获得噪声子空间估计。
Theoretical analysis shows that the matrix FSTM can be used to obtain the estimation of noise subspace.
提出一种基于信号子空间估计，用于频率选择性衰落信道的盲多用户自适应接收机。
In this paper, a blind multiuser receiver for frequency-selective fading channel based on subspace tracking has been presented.
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