摘要
针对低截获概率(LPI)雷达信号的识别问题,提出了一种基于自适应分解和多重相位差分的识别方法。该方法首先在自适应分解的基础上,提取调频率和分量能量之比作为分类特征。然后,基于多重相位差分,提取变换后信号的前后段均值比和拟合曲线斜率作为分类特征,完成了LPI雷达信号的完整分类。仿真实验结果表明,该方法无需先验信息,抗噪性好,识别正确率高。
In order to recognize the intra-pulse modulation type of low probability interpretation (LPI) signals, a recognition algorithm based on adaptive decomposition and multiple phase difference is proposed. Based on the adaptive signal decomposition, the ratio of frequency modu- lation rate to energy of components is used to as classification features. And then, the multiple phase difference of observed signal is calculated. The mean value ratio of former segment to lat- ter segment and slope of fitting curve are abstracted as classification features. Simulation shows that the proposed algorithm could completely tion, and has a good anti-noise performance classify the LPI radar signal without prior informa- and a high recomaition oerformance.
作者
王春雨
齐兴龙
王晓峰
WANG Chun-yu, QI Xing-long, WANG Xiao-feng(Aviation University of Air Force, Changchun 130022, Chin)
出处
《电子信息对抗技术》
2018年第2期7-11,42,共6页
Electronic Information Warfare Technology
关键词
LPI雷达信号
自适应信号分解
相位差分
脉内调制识别
LPI radar signal
adaptive signal decomposition
phase difference
intra - pulsemodulation recognition