一种基于LMS滤波的OFDM系统信道估计方法

Channel Estimation via the LMS Adaptive Filtering Algorithm for OFDM Systems

提出了一种适用于OFDM系统的最小均方(LMS)滤波的信道估计算法,对发送序列中导频位置的信道响应进行LMS滤波,进一步得出所有子载波上的信道响应。仿真结果表明,该方法同基于离散傅里叶变换(DFT)的信道估计算法相比,改善了估计的均方误差(MSE)和误码率(BER)性能。

This paper proposes a LMS filtering method for channel estimation in OFDM systems. To renew the channel state information On all sub - carriers, the estimator adoptes a LMS adaptive filtering algorithm based on DFF so as to improve the estimation accuracy. Computer simulations show that the proposed algo- rithm can achieve better performance than the conventional DFF algorithm in both mean square error （MSE） and bit error rate （BER） indicators.