一种新的低复杂度信道估计算法

A Novel Low Complexity Channel Estimation Algorithm

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 low complexity Linear Minimum Mean Square Error（LMMSE） channel estimation algorithm is pro- posed. In this algorithm, the channel autocorrelation matrix is partitioned into small sub - matrices by using non - overlap and overlap techniques. Since the proposed estimator uses small sub - matrices instead of the whole channel auto - correlation matrix, the complexity is significantly reduced in spite of slight performance degrada- tion. The performance of Mean Square Error （MSE） is evaluated in an exponentially fading channel model through computer simulation and the effectiveness of the orooosed aleorithm is verified.