基于自相关积分循环谱的复合调制雷达信号识别方法  

Intrapulse Composite Radar Signal Recognition Method Based on Autocorrelation Integral Cyclic Spectrum

作　　者：刘腾飞 李贺 孙浩原 孙中森 郑宇 LIU Teng-fei;LI He;SUN Hao-yuan;SUN Zhong-sen;ZHENG Yu(College of Electronic Information,Qingdao University,Qingdao 266071,China)

机构地区：[1]青岛大学电子信息学院,山东青岛266071

出　　处：《中国电子科学研究院学报》2023年第10期889-895,929,共8页Journal of China Academy of Electronics and Information Technology

基　　金：国家重点研发计划战略国际科技合作与创新计划(2018YFE0206500)。

摘　　要：为解决传统识别方法对复合调制的雷达信号识别率低的问题,文中提出了一种基于循环谱积分特征的识别方法。首先,将计算循环谱的傅里叶累积方法转换到自相关域,降低了噪声的干扰;其次,通过引入轴线积分的方法实现了将二维循环谱矩阵在保留主要信息的基础上降维为一维特征向量,消除冗余数据;最后,利用支持向量机实现了雷达信号的识别。实验表明,本方法在信噪比不小于-2 dB情况下,可保证对7种不同调制的雷达信号识别准确率在90%以上,且与其他识别方法相比在低信噪比条件下对雷达信号的识别率提升显著,尤其是对相位调制信号的识别。本方法将时域特征拓展到自相关域,便于实现,对信号识别方法提供了新思路。This paper proposes a recognition method based on cyclic spectrum integration features to address the low recognition rate of radar signals with composite modulation using traditional signal recognition methods.Firstly,the Fourier accumulation method for computing the cyclic spectrum is transformed into the autocorrelation domain,reducing interference from noise.Secondly,by introducing the method of axial integration,the 2D cyclic spectrum matrix is reduced to a ID feature vector while retaining the main information and eliminating redundant data.Finally,radar signal recognition is achieved using support vector machines.Experimental results show that this method guarantees an accuracy rate of over 90%for the recognition of seven different modulations of radar signals when the signal-to-noise ratio is not less than-2 dB.Furthermore,compared to other recognition methods,this method significantly improves the recognition rate of radar signals under low signal-to-noise ratio conditions,especially for phase modulation signals.This method extends the temporal features to the autocorrelation domain,making it easy to implement and providing new insights into signal recognition methods.

关 键 词：复合调制信号 循环谱 雷达信号识别 自相关域 轴线积分 

分 类 号：TN911.3[电子电信—通信与信息系统] TN958[电子电信—信息与通信工程]