基于矩阵恢复的OFDM信道估计方法

OFDM Channel Estimation Based on Matrix Recovery

正交频分复用(Orthogonal Frequency Division Multiplexing,OFDM)中至关重要的一项技术是信道估计,本文提出一种基于矩阵恢复的OFDM信道估计方法,将连续多个OFDM信号的频域信道构造成一个信道矩阵,由于这个信道矩阵是低秩的,所以可以将信道估计问题转换为信道矩阵的加权截断核范数最小化问题,并使用改进的奇异值阈值(Singular Value Thresholding,SVT)算法对信道矩阵进行恢复。仿真结果表明,本文提出的方法和传统信道估计算法相比,使用相同导频数可以获得更高的估计精度,在获得相同估计精度时,消耗导频数更少。与基于压缩感知的信道估计方法相比,本文方法消耗相同数量的导频,但可直接获得高精度的OFDM信道的频域估计。

Orthogonal frequency division multiplexing(OFDM)is a crucial technology in channel estimation,this paper proposes an OFDM channel estimation method based on matrix recovery,multiple consecutive OFDM signal in the frequency domain channel is constructed to a channel matrix.Since this channel matrix is low rank,the channel estimation problem can be converted to the weighted truncated kernel norm minimization problem of the channel matrix and the improved Singular Value Thresholding algorithm is used for recovery.The simulation results show that compared with the traditional channel estimation algorithm,the proposed method can use fewer pilot signals when the same precision channel estimation is obtained.Compared with the channel estimation method based on compressed sensing,the proposed method consumes the same amount of pilot frequency but can directly obtain high precision frequency domain estimation of OFDM channel.