提取和补充新的信号参数是解决复杂体制雷达辐射源信号分选难题的有效手段.基于模糊函数在表征信号内在结构上的独特作用,本文提出一种模糊函数主脊切面特征提取的新方法,构建出由主脊方向、切面重心和惯性半径组成的主脊切面特征向量.理论分析和实验结果表明,所提取的特征向量较好地反映了不同信号波形结构上的差异,具有类内聚敛性强和类间分离度大的优点,且具备较好的抗噪性能,证实了所提方法的可行性和有效性。
Extracting the novel signal parameters is an effective method to solve the sorting problem of complex radar emitter signals. Based on the specific effect of ambiguity function (AF) in characterizing the inherent structure of a signal, an effective approach was proposed to extract the features of main ridge slice of AF. And a characteristics vector which comprised the direction of the main ridge, the centroid of the slice and the inertia radius relative to the centroid, was constructed. The results of theoretical analysis and simulation experiments show that the extracted characteristics vector, clearly expresses the differences of waveform in different signals, and it has strong compactness within clusters and large separation between clusters, and it is also good to resist noise. Our results verify the feasibility and effectiveness of the proposed feature extraction method.