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作 者:陈菊 王兰成 屈雅楠 CHEN Ju;WANG Lancheng;QU Ya′nan(School of Political Science,National Defense University,Shanghai 200433,China;Unit 61486,Shanghai 200072,China;Shanghai Aircraft Design and Research Center,Commercial Aircraft Corporation of China Ltd.,Shanghai 201206,China)
机构地区:[1]国防大学政治学院,上海200433 [2]61486部队,上海200072 [3]中国商飞上海飞机设计研究院,上海201206
出 处:《信息工程大学学报》2019年第2期200-203,共4页Journal of Information Engineering University
摘 要:调制信号分类属于信号截获和解调的重要环节。在非合作环境下,信号隐藏在复杂噪声中,分析过程亦缺乏信号先验知识的指导,信号规格识别和分类这一难题越来越受到业界的关注。针对突发MPSK信号开展规格识别的研究,深入分析MPSK信号相位概率密度函数,设计一种基于最大后验概率准则的准最佳调制分类算法。实际结果验证了分类器的有效性。Classification of modulation signals is an important part of signal interception and demodulation.Under non-cooperative environment,signals are hidden in complex noises,and the analysis process is lack of guidance of prior knowledge.The problem of signal identification and classification has attracted more and more attention of the industry.This paper studies the specification recognition for burst MPSK signals,and analyzes the MPSK signal’s phase probability density function.A quasi-optimal modulation classification algorithm is designed in line with the maximum posteriori probability criterion.The actual application results verify the validity of the classifier studied in this paper.
分 类 号:TN911[电子电信—通信与信息系统]
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