基于子空间的OFDM系统信道估计算法

研究了适用于正交频分复用（OFDM）系统的信道估计算法，给出了一种基于子空间分解的半盲信道估计算法，利用循环前缀引入的冗余信息和子空间分解的特性，并结合OFDM系统的导频信息估计信道参数。该方法无需改变发送信号的结构，因而适用于大多数OFDM系统，此外该算法不需考虑信道的具体特性，便于信道的实时跟踪。仿真结果表明，算法的信道估计精度优于基于导频的方法，适用于任意调制星座。

Subspace-based channel estimation algorithm for OFDM systems

An estimation for OFDM systems was studied, and a semi-blind channel estimation algorithm was proposed based on subspace decomposition, which used the redundancy introduced by the cyclic prefix and subspace characteristic and conbined with the pilot in formation of OFDM systems. The algorithm adapts to most of the OFDM systems without changing the transmited data structure. The specialization of channel is not considered, this makes it easy to track the variation of channel. The simulation result shows proposed algorithm outperform the method based on pilots, and adapts to all modulation constellations.