低截获概率雷达信号干扰类型分类识别

摘要

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 classification 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.%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最能量之比,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:这种方法可以对于扰类型有效分类识别,判断出干扰类型属于同型同频干扰、非同型同频十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.