基于FRFT的雷达辐射源信号特征分析及提取

Analysis and Extraction of Radar Emitter Signal Feature Based on Fractional Fourier Transform

针对用于分选的雷达辐射源信号参数空间严重交错的问题,提出了基于分数阶傅里叶变换(FRFT)的雷达辐射源信号特征分析与提取方法。该方法提出特征定义——信号聚散度,同时将相像系数引入信号特征的提取中。通过计算不同阶FRFT中的聚散度和相像系数得到相应的变化曲线,提取曲线峰值对应的阶数值和峰度,并进一步提取信号做k次方谱的相像系数,以此构造新的分选特征向量。通过仿真实验验证了新特征向量具有更好的可分性。

As parameters from radar emitter signal are of seriously interleaved,the analysis and extraction of radar emitter signal feature based on fractional Fourier transform(FRFT)was proposed.A new feature-signal vergence was proposed based on analysis of radar emitter signal feature in fractional Fourier transform,and meanwhile,the resemblance coefficient was introduced into signal feature analysis.The changing curve was drawn through calculating the vergence and resemblance coefficient in FRFT and extracts fractional order and peak value of the changing curve.And then,the resemblance coefficient was extracted in k-th power spectrum further,which constructs a new feature sorting vector.Simulation results proved that the proposed feature vector was more separable.