一种用于实际OFDM系统的RLS自适应信道估计算法

A RLS Adaptive Channel Estimation Algorithm for Practical OFDM Systems

分析了正交频分复用(OFDM)信道估计中的信道冲激响应(CIR)泄漏问题,提出了新的时域一维递归最小二乘(RLS)自适应信道估计算法.RLS滤波器的输入和参考信号被独立于信道统计特性的矩阵加权,降低了实际OFDM系统中CIR泄漏的影响.该算法保持了一维RLS算法低复杂度的特点,运算量远小于二维RLS算法.仿真结果证明,该算法极大地提高了一维RLS算法MSE性能,使其逼近于二维RLS算法.

The channel impulse response （CIR） leakage in orthogonal frequency division multiplexing （OFDM） channel estimation was analyzed. A new one-dimensional （1D） recursive least square （RLS） adaptive channel estimation algorithm was proposed in time domain. To reduce the effects of CIR leakage in practical OFDM systems, the input signals and reference signals of the RLS filter were weighted by a matrix that was independent to the channel statistics. The proposed algorithm kept the simplicity of the 1D-RLS algorithm, whose computational cost was much lower than that of the 2D-RLS counterpart. The simulation results show that the proposed algorithm improves the MSE performance of the 1D-RLS channel estimation significantly, The MSE performance can even approach the result of the 2D-RLS algorithm.