This paper studied the blind channel estimation based on the subspace method as well.
本文还研究了基于子空间方法的盲信道估计。
参考来源 - OFDM系统的信道估计算法研究The blind channel estimation method based on the second-order statistics, including subspace-based method and linear prediction method, has been studied, between them the former is chiefly emphasized.
详细分析推导了MIMO-OFDM系统中于二阶统计特性的盲信道估计方法,主要包括子空间方法和线性预测的方法。
参考来源 - MIMOIn this paper, we establish conditions for channel identifiability and present a blind channel estimation technique based on a subspace approach.
文章建立了MIMO-OFDM信道识别的条件并实现了基于子空间方法的盲信道估计技术。
参考来源 - MIMO·2,447,543篇论文数据，部分数据来源于NoteExpress
本文重点研究了最简单的子空间方法。
运用特征子空间方法的关键在于信号或噪声子空间的估计。
The key problem of eigen subspace methods is the estimation of signal or noise subspace.
采用最小噪声子空间方法，提出了一种通信信道盲辨识算法。
A new blind identification algorithm for the communication channel is presented by using minimum noise subspace approach.
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