基于广义二阶循环统计量的通信信号调制识别研究

TN911.72; 针对传统的二阶循环统计量在Alpha稳定分布噪声中显著退化的问题,提出了广义二阶循环统计量的概念.在研究了所选通信信号的广义二阶循环统计量的基础上,提取信号广义二阶循环谱中特定频率和循环频率处的幅值作为特征参量,采用最小误差准则作为分类器算法,实现信号调制方式识别.仿真结果表明,在Alpha稳定分布噪声背景下该方法性能优于传统二阶循环统计量的方法,且在高斯噪声背景下也具有良好的性能....

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Published inTongxin Xuebao Vol. 32; no. 1; pp. 144 - 150
Main Authors 赵春晖, 杨伟超, 马爽
Format Journal Article
LanguageChinese
Published 哈尔滨工程大学信息与通信工程学院,黑龙江,哈尔滨,150001 2011
Editorial Department of Journal on Communications
Subjects
Alpha稳定分布
特征参数
高斯噪声
信号识别
广义二阶循环谱
Online AccessGet full text
ISSN1000-436X
DOI10.3969/j.issn.1000-436X.2011.01.019

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Abstract TN911.72; 针对传统的二阶循环统计量在Alpha稳定分布噪声中显著退化的问题,提出了广义二阶循环统计量的概念.在研究了所选通信信号的广义二阶循环统计量的基础上,提取信号广义二阶循环谱中特定频率和循环频率处的幅值作为特征参量,采用最小误差准则作为分类器算法,实现信号调制方式识别.仿真结果表明,在Alpha稳定分布噪声背景下该方法性能优于传统二阶循环统计量的方法,且在高斯噪声背景下也具有良好的性能.
AbstractList TN911.72; 针对传统的二阶循环统计量在Alpha稳定分布噪声中显著退化的问题,提出了广义二阶循环统计量的概念.在研究了所选通信信号的广义二阶循环统计量的基础上,提取信号广义二阶循环谱中特定频率和循环频率处的幅值作为特征参量,采用最小误差准则作为分类器算法,实现信号调制方式识别.仿真结果表明,在Alpha稳定分布噪声背景下该方法性能优于传统二阶循环统计量的方法,且在高斯噪声背景下也具有良好的性能.
Author 杨伟超
赵春晖
马爽
AuthorAffiliation 哈尔滨工程大学信息与通信工程学院,黑龙江,哈尔滨,150001
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Author_FL ZHAO Chun-hui
YANG Wei-chao
MA Shuang
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Keywords Alpha稳定分布
特征参数
高斯噪声
信号识别
广义二阶循环谱
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Title 基于广义二阶循环统计量的通信信号调制识别研究
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