摘要
针对三种常见低截获概率雷达信号的干扰类型识别问题,结合分形和分数阶傅里叶变换算法,提取干扰后混合信号的信息维数、盒维数以及分数阶域信号分量能量之比,构造特征向量,然后通过支持向量机对干扰类型分类识别;仿真结果表明:这种方法可以对干扰类型有效分类识别,判断出干扰类型属于同型同频干扰、非同型同频干扰或是带内非同频干扰,对雷达抗干扰设计和系统设计有重要意义。
For identifying the type of interference problem of three common low probability of intercept radar signals, combined with fractal and fractional Fourier transform algorithm, mixed signal disturbance extraction of information dimension, box dimension and the fractional domain signal component of the ratio of the energy are extracted to construct feature vector, then the support vector machine classi- fication is used on the disturbance. Simulation results show that： This method can be an effective classification of disturbance, to determine the disturbance frequency which is important to radar anti--jamming design and system design.
出处
《计算机测量与控制》
CSCD
北大核心
2011年第2期405-408,共4页
Computer Measurement &Control
基金
国防预研应用基础研究基金项目(A1420061266)
教育部重点科学研究基金项目(105087)
