In order to improve the performance of MIMO-OFDM channel estimation,the connection between MMSE channel estimator and subspace projecting was analyzed in the context of space time block training sequence firstly.
为提高MIMO-OFDM系统信道估计的性能,首先通过分析揭示了基于空时分组训练序列的MMSE信道估计器和子空间投影之间的关系。
参考来源 - 基于空时分组训练序列的低复杂度MIMO·2,447,543篇论文数据，部分数据来源于NoteExpress
The LS channel estimation of OFDM systems can be viewed as a noisy observation of the true channel frequency response, so the noise component can be compressed through subspace projecting.
OFDM系统的LS信道估计可看作真实信道频率响应的一个有噪观察值，因此可采用子空间投影方法对噪声进行压缩。
The performance of subspace method is improved by projecting the received signals to the signal subspace. And it can be executed by subspace tracking algorithms with low computational complexity.
基于子空间的盲多用户检测将接收信号投影到信号子空间，可以提高检测性能，并且可采用复杂度较低的子空间追踪算法实现。
The reduced system is obtained by projecting the original system onto a predefined approximate subspace.
将该有限元格式通过事先构造的近似子空间进行缩减，得到快速计算模型。
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