基于JADE的MIMO-OFDM信号信噪比盲估计算法

Blind SNR Estimation Algorithm for MIMO-OFDM Signals Based on JADE

针对非协作通信背景中MIMO-OFDM信号信噪比盲估计问题,提出了一种新的MIMO-OFDM信号SNR盲估计算法。首先,计算接收信号的自相关矩阵并进行特征值分解,再用最小描述长度(The Minimum Description Length,MDL)估计发射天线数;然后,把接收信号进行子空间分解估计噪声功率;最后,利用JADE(Joint Approximate Diagonalization of Eigenvalue Matrix)估计出信号功率,从而有效估计出MIMO-OFDM的信噪比。实验结果表明,该方法不需要任何先验信息,当SNR>3 dB时,估计的均方误差小于0.1,同现有的算法相对比,该文的估计方法性能更优越。

Aim at blind estimation of signal to noise ratio(SNR)of MIMO-OFDM signal in non-cooperative communication background,this paper proposes a novel blind SNR estimation method for MIMO-OFDM signal.This method first calculates the received signal autocorrelation eigenvalue decomposition.Secondly,the number of antennas is estimated by the minimum description length(MDL)criterion.Then,the received signal is decomposed into subspace to estimate the noise power.Finally,JADE(Joint Approximate Diagonalization of Eigenvalue Matrix)is used to estimate the source signal and calculates the signal power so as to estimate the SNR of MIMO-OFDM signal.The experiment results show that the proposed method does not need any prior information.The estimated mean square error is less than 0.1 when SNR>3 dB.Compared with the existing methods,the proposed method has better estimation performance.