摘要
针对相控阵体制雷达识别问题,提出了一种基于扫描包络频谱边带小波包变换和支持向量机(SVM)的识别方法.通过对侦收信号扫描包络进行快速傅里叶变换,挖掘相控阵体制雷达和常规体制雷达扫描包络在频域上的差异,提取频谱边带小波包特征,并利用SVM进行分类识别.仿真结果表明,小波包特征类间分离度好,并且对测量误差不敏感,将其作为相控阵体制雷达识别的特征参数,可以得到较高的识别准确率.
Aiming at phased-array radar identification this paper proposes a method based on the wavelet packet transform of scanning envelope frequency spectrum sideband and support vector machine. Firstly,fast Fourier transform is performed on the detected radar scanning envelope,and the differences of scanning envelope in the frequency domain between the phased-array radar and the conventional radar are discovered. And then the wavelet packet features of spectrum sidebands are extracted and the support vector machine used for recognition.The simulation results show that the wavelet packet feature has good separation degree and is insensitive to measurement error,and that using it as a characteristic parameter for phased-array radar recognition is in the position to obtain relatively high recognition accuracy.
引文
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