基于数学形态滤波的调制方式识别  

Modulation Recognition Based on Mathematical Morphology Filtering

作　　者：陈静[1] 杨明[1] 

机构地区：[1]中国人民解放军91404部队

出　　处：《无线电通信技术》2016年第1期54-56,64,共4页Radio Communications Technology

摘　　要：简要介绍了数学形态滤波的基本原理与形态滤波器的构建,针对通信信号中存在的加性高斯白噪声问题,提出了一种运用数学形态滤波方法对信号瞬时包络进行整形滤波,再提取相应的特征参数J进行调制样式识别的新方法。并将该方法用于对2ASK、4ASK、QPSK、8PSK和2FSK等信号的识别中,实验结果表明,该方法对高斯白噪声有很好的滤波效果,亦表明数学形态滤波在通信领域有很好的应用前景。This paper briefly introduces the basic principle of mathematical morphology filtering and the construction of morphology filter.In view of advanced Gaussian white noise in communication signal,a new modulation recognition method is presented.This method uses mathematical morphological filtering to implement shaping filtering for signal instantaneous envelope, and then extract corresponding feature parameter J for modulation recognition.This method is used in recognition of such signals as 2ASK,4ASK, QPSK, 8PSK and 2FSK.The experimental results show that this method has higher filtering effect for Gaussian whiter noise,and the mathematical morphology filtering has better application prospect in communication field.

关 键 词：数学形态滤波 调制样式识别 加性高斯白噪声 高阶累积量 

分 类 号：TN911[电子电信—通信与信息系统]