数字通信信号自动调制识别的谱相关方法

Automatic Modulation Recognition of Digital Communication Signals Using Spectral Correlation Approach

该文提出了一种用于数字通信信号自动调制识别的新方法。一些调制类型有着相同的功率谱密度，但它们的谱相关函数却有明显区别。利用谱相关性质可以识别出噪声中的调制信号。该文对高斯噪声中数字通信信号的自动识别进行了计算机仿真。实验结果表明，在信噪比为５ ｄＢ时，识别成功率不低于９０ ％ 。

This paper presents a new method for the automatic modulation recognition of digital communication signals. Different types of modulated signals that have identical power spectral density functions can have highly distinct spectral correlation functions. The different spectral correlation function characteristic can be used to classify modulated signals, even when the signals are buried in noise. Computer simulations for different types of digital communication signal corrupted by Gaussian noise have been carried out. It is found that all modulation types of interest have been classified with success rate≥90% at S NR =5dB.