一种改进的自适应信道估计器

An Improved Adaptive Channel Estimator

本文提出采用短周期M序列相关算法训练信道估计器,它具有收敛快、精度高、算法简单且与LMS算法相近的优点。训练阶段的相关算法与工作阶段的LMS算法可结合在同一个横向滤波器结构中,从而加速了自适应信道估计器的收敛过程。计算机模拟表明,经四倍的信道响应时间迭代运算后,信道冲激响应样值的估计误差小于0.01。这种自适应信道估计器简单而实用。

In this paper, we propose that the correlation algorithm with short period M - seguence is used for training channel estimator, which has the advantages of fast convergence, high precision and simple algorithm similar to the LMS algorithm. The correlation algorithm in training period and the LMS algorithm in run period can be combined in the identical transversal filter structure, so that it speeds up the channel estimator convergence. The computer simulation results show that the estimation errors of the channel response samples are less than 0.01 by the operation of iteration in the period of 4 times the time span of the channel response. This adaptive channel estimator is simple and practical.