SIMO信道中基于奇异值分解的盲信噪比估计算法

信噪比（SNR）是现代通信信号处理中一个重要参数，许多算法需要它作为先验信息以获取最佳估计性能。针对单输入多输出（SIMO）系统的信噪比估计问题，本文提出了一种盲信噪比估计算法。该算法利用多路信号协方差矩阵的奇异值分解（SVD），通过计算矩阵的最大特征值实现各路信号信噪比估计。该算法无需知道信号的先验信息，能够对加性高斯白噪声信道（AWGN）和多径信道下常用的数字调制信号进行信噪比估计。仿真结果表明该算法具有良好的估计性能。与单路信号中基于SVD信噪比估计算法相比，该算法无需估计信号空间与噪声空间维数，提高了估计精度，同时大大减小计算复杂度。 

A Blind SNR Estimation Algorithm Based on SVD over SIMO Channels

SNR(Signal-to-Noise Ratio) is an important parameter in modern communication signal processing,and many algorithms need this information to obtain optimal performance.A new blind SNR estimation algorithm is proposed for signal-to-noise ratio (SNR) estimation over single-input multiple-output(SIMO) system in this paper.The new SIMO SNR estimation technique is based on singular-value decomposition(SVD) of received signal covariance matrix,by computing the maximum eigenvalue of the matrix to estimate SNR.The a...