【作者】 余静；

【导师】 魏庆国； 李刚；

【作者基本信息】 南昌大学 ， 电子与通信工程（专业学位）， 2013， 硕士

【摘要】 通信信号调制模式自动识别是通信领域的一个重要研究课题。随着通信技术的飞速发展,调制模式更加复杂多样,信号环境也日益密集,使得传统的识别方法难以满足实际需要,这给调制模式自动识别研究提出了更高要求,比如：需要信号先验知识更少、识别信号类型更多和低信噪比下识别率更高等。基于此,在现有分析方法基础上,本文对现代通信的4类主要信号调制方式,即ASK、FSK, PSK, QAM信号,提出了基于小波变换系数瞬时信息特征的信号识别方法,以小波变换系数的瞬时幅度方差、瞬时频率方差、码元相位差方差三个参数作为信号的类间识别,以小波变换系数的瞬时幅度、瞬时频率、码元相位差的直方图峰值数作为信号的类内识别,该方法参数结构简单、计算快捷、易于理解,方便在MATL-AB软件中进行仿真实现以及可视化演示,有利于信号识别的实时检测。相对于基于原信号的识别方法,识别率更高。更多还原

【Abstract】 Signal’s automatic modulation recognition is an important research subject in the field of communication. With the rapid development of communication technology, modulation manner of digital communication signals becomes more and more complicated and various, and circumstance of signals also becomes increasingly dense. It results in the problem that the routine methods can hardly satisfy the practical requirements. So these strict demands, for instance, less signals’ priori knowledge, more identified modulation manners, higher recognition rate in low SNR and so on, have been presented for study on automatic modulation recognition of digital communication signals. Based on these demands and the existing analysis methods, a method based on wavelet transform in the classification for the four modulation styles of signals in modern communication is proposed. It uses the variance of instantaneous amplitude, instantaneous frequency and neighboring symbol difference phase as the parameters for the different class recognition. For the intra-class recognition, it chooses the peaks in histogram of instantaneous amplitude, instantaneous frequency and neighboring symbol difference phase. The method by the wavelet transform has several advantages, such as simple structure, fast calculation, easy to understand, convenient to implement, and visualization simulation in MATLAB software demo. Relative to the recognition method based on the original signal, it has a higher recognition rate.更多还原