基于Gabor原子的雷达辐射源信号无意调制特征提取

Unintentional modulation feature extraction of radar emitter signals based on Gabor atoms

针对雷达辐射源的个体差异,提出一种雷达辐射源信号无意调制特征提取方法。该方法在过完备Gabor原子库基础上,采用匹配追踪(matching pursuit)方法对具有相位噪声的常规雷达辐射源信号进行时频原子分解,得到表示常规雷达辐射源信号无意调制特征信息的最佳Gabor原子,将最佳Gabor原子时频参数以及重构信号和原始信号的相似度作为个体特征参数。实验结果表明,提取的个体特征参数可以有效地表示常规雷达辐射源信号的无意调制。

An approach of unintentional modulation feature extraction of radar emitter signals is presented as for the individual differences. Based on the over-complete dictionary of Gabor atoms, the continuous wave radar emitter signals with phase noises are decomposed into a linear expansion of atoms by the method of matching pursuit. Then, some optimal Gabor atoms containing unintentional modulation features are obtained, and thus the parameters of the optimal Gabor at oms and the similarity are considered as individual feature parameters. The individual feature parameters extracted can be effectively characterized the unintentional modulation of the continuous wave radar emitter signals from datas obtained experimentally.