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作 者:彭闯 杨晓静 蔡晓霞 PENG Chuang;YANG Xiao-jing;CAI Xiao-xia(School of Electronic Countermeasure,National University of Defense Technology,Hefei 230037,China)
机构地区:[1]国防科技大学电子对抗学院
出 处:《火力与指挥控制》2019年第8期29-33,40,共6页Fire Control & Command Control
基 金:国家自然科学基金资助项目(61201379)
摘 要:针对卫星通信中常用的调制信号和成对载波多址(PCMA)混叠信号的调制样式识别问题,提出了一种基于高阶累积量和信号瞬时特征统计量的识别算法。该算法对接收数据进行预处理,在此基础上提取高阶累积量和信号瞬时特征统计量构造4个特征参数,构造树形分类器进行调制识别。算法具有不需要知晓信号的定时等先验信息,对混合幅度比不敏感等特点。仿真结果表明,该算法在低信噪比下仍然能保持较高的识别性能。In view of the modulation identification problems of common used single signals and Paired Carrier Multiple Access(PCMA)mixed signals in satellite communication,the paper proposes a identification algorithm based on high-order cumulants and signal instantaneous characteristic statistics.After the pre-processing of received data,the algorithm extracts high-order cumulants and instantaneous characteristic statistics to form into 4 characteristic parameters and then to achieve a tree-shape classifier for modulation identification. This algorithm does not need any prior information about the timings of signals,and is non-sensitive for the mixture amplitude ratio. The simulation results show that under the low signal-to-noise ratio,the algorithm can achieve high identification capability.
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