目前，一种普遍的解决方法是将空时码与正交频分复用（OFDM）相结合，但需要假定信道变化缓慢，从而有足够的时间通过发送训练序列来进行信道估计。
Now, a general solution is that combining STC with OFDM, but it is supposed that the channel changes slowly, so there is enough time to transmit the training sequence for channel estimation.
本文将信号处理中的子空间方法同分层空时码的编码结构相结合，提出了一种垂直分层空时编码，实现了无需训练序列的信道估计。
In this paper, by combining the subspace method with layered space-time codes, we propose a vertical layered space-time code and accomplish the channel estimation without the training symbols.
盲均衡器由于不需要训练序列，仅利用接收信号的统计特性就能对信道特性进行均衡，消除码间串扰，成为近年来通信领域研究的热点课题。
Because blind channel equalizer can reduce the intersymbol interference without the assistance of the transmitted sequence, it has been becoming a very popular research topic in recent years.
盲均衡器由于不需要训练序列，仅利用接收信号的统计特性就能对信道特性进行均衡，消除码间串扰，成为近年来通信领域研究的热点课题。
Because blind channel equalizer can reduce the intersymbol interference without the assistance of the transmitted sequence, it has been becoming a very popular research topic in recent years.
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