基于循环特征的调制模式识别算法  

Cyclostationary-based Modulation Recognition Algorithm

作　　者：夏龄[1] 

机构地区：[1]四川民族学院网络信息中心,康定626001

出　　处：《科学技术与工程》2012年第31期8241-8246,共6页Science Technology and Engineering

基　　金：四川省教育厅科研基金项目(10ZC025);甘孜州重点科技项目(20095025)资助

摘　　要：介绍现有通信信号调制模式识别算法,对二进制幅度键控、二进制频移键控、二进制相移键控、正交相移键控、最小频移键控等几种数字通信信号的循环平稳特性建模分析,并提取出了循环谱密度函数α轴上的最大幅度归一化值a、循环谱密度函数f正半轴上的脉冲个数m、循环谱密度函数α正半轴上的脉冲个数n等相关的特征参数,通过分级判决来实现基于通信信号的循环特征的调制模式识别。仿真表明,基于循环特征的调制模式识别算法在-2 dB的加性高斯白噪声条件下,识别正确率高达90%,具有较好的可靠性。nication signals Existing modulation recognition algorithms are reviewed. The cyclostationary of some digital commu- such as binary amplitude shift keying （BASK）, binary frequency shift keying （BFSK）, binary phase shift keying （BPSK） and quadrature phase shift keying （QPSK） and minimum-frequency shift keying （MSK） is modeled and analyzed, and the relative characteristics of the cyclic spectrum density functions （CSDF） is extracted, including the maximum normalized amplitude on a-axis （expressed as a）, pluses on the positive f-ax- is （m） and pluses on the positive a-axis （n） and so on. Communication signal modulation recognition based on cy- clostationary can be realized by grading decision algorithm consequently. Simulation shows, the average recognition accuracy reaching up to 90% under - 2 dB additive white Gaussian noise accounts for the reliability of the modula- tion recognition algorithm based on cyclostaionary.

关 键 词：调制模式识别 循环平稳特性 循环谱密度函数 高斯白噪声 

分 类 号：TN911.3[电子电信—通信与信息系统]