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基于高阶累积量和星座图的调制识别算法
引用本文:位小记,谢红,郭慧. 基于高阶累积量和星座图的调制识别算法[J]. 哈尔滨商业大学学报(自然科学版), 2011, 27(4): 609-613
作者姓名:位小记  谢红  郭慧
作者单位:哈尔滨工程大学信息与通信工程学院,哈尔滨,150001
基金项目:国家教学专项基金资助项目(00208002063504)
摘    要:
提出了一种基于高阶累积量和星座图的数字调制信号识别的算法.该算法利用信号的高阶累积量,并结合改进的星座图聚类分析法,采用一种分层的多分类器对信号进行分类.算法中所选用的特征参数对信号的幅度和相位抖动不敏感,同时能有效地抑制加性高斯噪声.仿真结果表明,在接收数据长度为800和信噪比不低于6 dB的情况下,该算法对不同调制...

关 键 词:高阶累积量  星座图聚类  调制识别  傅里叶变换  分层分类器

Algorithm of modulation recognition based on high order cumulant and constellation
WEI Xiao-ji,XIE Hong,GUO Hui. Algorithm of modulation recognition based on high order cumulant and constellation[J]. Journal of Harbin University of Commerce :Natural Sciences Edition, 2011, 27(4): 609-613
Authors:WEI Xiao-ji  XIE Hong  GUO Hui
Affiliation:WEI Xiao-ji,XIE Hong,GUO Hui (School of Information and Communication Engineering,Harbin Engineering University,Harbin 150001,China)
Abstract:
A recognition algorithm of digital modulation signals based on high order cumulants(HOC) and constellation was presented,which connected high order cumulants with improved constellation clustering and adopts hierarchical multiclass classifier to identify digital signal types.The feature parameters were invariant with the respect to difference of amplitude and phase,and they could suppress additive Gaussian noise effectively.Simulations showed that the success rate was over 93% for recognition of the differe...
Keywords:high order cumulant  constellation clustering  modulation recognition  Fourier transform  hierarchical classifier  
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