基于参数统计的数字信号类间识别

Recogniton among the Common Digital Signals Based on Statistical Parameters

针对常用的4类数字信号MASK、MFSK、MPSK、16QAM,提出一种基于参数统计的识别算法。文章对延迟共轭相乘后的相位进行了详细的推导,并利用不同类信号的3个参数(基于瞬时幅度的统计参数A、延迟共轭相乘后的相位方差、差分运算后的包络方差)的差异实现了信号的类间识别。大量仿真实验及实际数据测试表明,本文方法简单,且在snr≥4dB时有较好的识别性能。

A method based on statistical parameters is proposed aiming at the common digital signals,MASK,MFSK,MPSK,16QAM.The paper presents the phase of the signal after delaying and conjugating multiplication in detail,and uses the differences of the three parameters（called the statistic parameter based on instantaneous amplitude—A,the phase variance after delaying and conjugating multiplication and the variance of the envelope after the difference of the original waveform and the delaying waveform） to carry out the recognition among the digital signals.A mass of emulations and real signal tests show that the method is simple and has good performance when SNR is equal to or greater than 4 decibels.