一种新的MPSK信号信噪比估计算法

A New SNR Estimation Algorithm for MPSK Signals

针对现有PSK信号信噪比估计算法估计精度不高,估计范围小的问题,在高阶统计量的基础上,使用全回归线性分析方法,得到了一种新的MPSK信噪比估计算法。新算法首先建立信噪比与统计量之间的线性关系,再利用全回归方法拟合出各线性系数。经仿真表明:该算法综合使用各阶统计量信息,扩大了现有信噪比估计算法的估计范围,并使得低信噪比估计性能明显优于其它算法。

To solve the low estimation accuracy and small estimate range of MPSK signal-to-noise （SNR） estimate, the whole regression＇s linear analysis method was used to receive a kind of new PSK SNR estimation algorithm through the data fitting based on the higher-order statistics. Firstly,＂ the linearity relationship between SNR and sta-tistics was estimated, and the linearity coefficients were fitted. Simulation results show that each order statistics quantity progress is synthetically used to draw up to match and the estimate range of the existing SNR estimation algorithm is expanded, and the low SNR estimation performance is made obviously better than other algorithms.