快速的ZP-OFDM系统中的盲信道估计算法

Fast Blind Channel Estimation Method of ZP-OFDM System

基于子空间的盲信道估计因为其节约带宽和发射功率成为OFDM系统中比较热门的研究领域。但是,之前很多子空间算法有的收敛速度快,计算复杂度却高,有的用迭代算法跟踪子空间的特征结构,复杂度较低,但收敛速度却比较慢。提出了一种基于快速收敛的LMS-Newton算法的ZP-OFDM系统的信道估计方法,既提高了收敛速度,计算复杂度又不是很高。借助于子空间跟踪,该算法可以自适应地估计信道相关矩阵的噪声子空间,从而估计OFDM系统信道。仿真结果表明该算法可以改善信道估计的性能。

This paper presents a blind channel estimation method for OFDM system based on fast improved LMS- New-ton. The proposed method can get higher convergence rate and lower computational complexity. By subspace tracker, the proposed method can adaptively estimate the noise subspace of channel autocorrelation matrix, then estimate the channel of OFDM system. We present simulation results demonstrating the performance of the proposed method.