中值滤波算法在MPSK信号非线性频率估计中的应用研究

Applying Median Filtering Algorithm to Nonlinear Frequency Estimation of MPSK Modulated Signals

该文基于非线性频率估计算法,通过对叠加了高斯分布白噪声接收信号的非线性变换分析,提出将中值滤波算法应用于载波频率估计之中的思想。同时,运用蒙特卡洛(MonteCarlo)仿真手段对其进行了验证。结果表明:在非线性频率估计中运用中值滤波算法后,其估计的均方误差较之运用均值滤波算法有很大的改善。

Based on the nonlinear frequency algorithm, the nonlinear transform of white Gaussian noise, which is added to the received signals are analyzed. And the idea of applying median filtering algorithm to nonlinear frequency estimation is proposed. At the same time,Monte Carlo simulation is used to validate the idea. The results show that the Mean Square Error (MES) of frequency estimation using median filter is more perfect than using mean value filter.