摘要
研究了基于高阶累积量的调制识别算法,并且对信号的高阶累积量进行了推导。首先从二阶、八阶累积量中提取两个识别特征参数,然后采用支持向量机作为识别数字调制信号的分类器。实验表明:低信噪比情况下,相比较于其它调制识别算法,文章算法能有效提高MASK、MPSK、MFSK、MQAM等多种信号的识别精度并且算法的鲁棒性较好。
This paper studies modulation recognition algorithm based on higher-order cumulant,and high-order cumulants of signals are derived.Firstly,two characteristic parameters are extracted from the second-order and eighth-order,then SVM is utilized as the identification of the digital modulation signal classifier.Simulation results show that the algorithm can effectively identify MASK,MPSK,MFSK and MQAM and other signals under small SNR.With respect to other modulation recognition algorithms,it has high recognition accuracy and better robustness.
出处
《信息工程大学学报》
2017年第4期403-408,共6页
Journal of Information Engineering University
基金
科研基金资助项目
关键词
高阶累积量
调制识别
支持向量机
识别率
higher-order cumulant
modulation recognition
support vector machine
recognition rate
