刘亚冲,唐智灵

• 1:桂林电子科技大学广西无线宽带通信与信号处理重点实验室

摘要(Abstract)：

通信信号调制方式的自动识别在通信对抗领域中具有重要作用,同时也是未来认知无线电系统的重要组成部分,如何在日趋密集的信号环境中快速准确地识别多个混合通信信号是实现通信信号调制方式自动识别的重点。针对这种情况,以数字通信信号的循环谱为特征,通过构建softmax回归多分类识别器,提出一种基于softmax回归的通信信号循环谱的多分类识别方法。通过计算机验证不同条件下的算法性能,证明了该方法无需知道典型的数字调制信号(如ASK,BPSK,QPSK,16QAM,64QAM)的符号率、载频以及同步定时等先验信息,对它们组成的混合信号可以正确识别其中包含的每个调制信号的调制方式,并且识别速度较快。

关键词(KeyWords)： softmax;多分类识别;循环谱;调制方式识别;神经网络;电子对抗

Abstract:

Keywords:

基金项目(Foundation): 国家自然科学基金(61461013);; 广西自动检测技术与仪器重点实验室主任基金(YQ15115);; 桂林电子科技大学创新团队“广西无线宽带通信与信号处理重点实验室”2016年主任基金项目(GXKL06160103)~~

作者(Author): 刘亚冲,唐智灵

DOI: 10.16652/j.issn.1004-373x.2018.03.001

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