电子战的电磁环境正朝着复杂性和多样性的方向日趋发展,使得过去传统的雷达辐射源识别技术已无法准确地对辐射源进行分类和识别。为了改善和解决该问题,文中利用信号的脉内调制特性和雷达的个体特征进行辅助识别,并围绕着雷达信号的调制特性、特征提取和选择进行了深入的研究,同时提出了新的特征提取方法。该方法可以实现针对常规的雷达信号识别其个体并判断其调制类型,测量其指纹特征参数。通过计算机仿真实验和实测数据计算结果证明了该方法的有效性。

Due to the complex signal environment and diversity of radar system, the traditional emitter recognition methods have been unable to accurately recognize the complex emitter. To solve this problem, we use the signal intra-pulse modulation characteristics and individual characteristics to do auxiliary identification. We mainly focus on the radar signal modulation characteristic analysis, feature extraction and selection. In this paper, a new efficient feature and extraction method is proposed for radar radiating source recognition and individual identification. Both the simulation and experiment results are used for demonstration.