一种新的低复杂度信道估计算法

提出了一种低复杂度的最小线性均方误差（LMMSE）估计算法，该算法依据重叠和非重叠技 术将相关矩阵进行分块。由于该算法采用小的子矩阵而不是整个相关矩阵，尽管性能稍微恶 化但复杂度大大降低。以指数衰落信道模型为例，评价了该算法的均方误差性能，证实了该 算法的有效性。

A novel low complexity channel estimation algorithm

A low complexity Linear Minimum Mean Square Error(LMMSE) channel estimation algo rithm is proposed. In this algorithm,the channel autocorrelation matrix is partitioned into small sub-matrices by us ing non-overlap and overlap techniques. Since the proposed estimator uses small sub-matrices instead of the whole channel auto-correlation matrix, the complexit y is significantly reduced in spite of slight performance degradation. The perfo rmance of Mean Square Error(MSE) is evaluated in an exponentially fading cha nnel model through computer simulation and the effectiveness of the proposed alg orithm is verified.