一种新的Morlet小波及其在雷达信号特征提取中的应用研究

A new Morlet wavelet and its application in radar signal feature extraction

为准确估计雷达信号的瞬时频率,文中提出了一种基于新Morlet小波原子提取信号小波脊线的方法。通过分析小波脊线原理,使用新Morlet小波原子提取雷达辐射源信号的小波脊线特征。同时,针对不同调制类型的雷达信号,根据小波分解时—频约束关系,分析了正确提取信号脊线特征的条件。仿真实验表明,与普通Morlet小波原子相比,基于改进的Morlet小波提取信号脊线特征具有较强的检测概率和抗噪性能,其方法的有效性为实验结果所证实。

In order to improve the precision of estimating the instantaneous frequency in radar signal processing, a new approach concerning the signal wavelet ridge feature（WRF） extraction, is proposed based on a new Morlet wavelet atom. In this method, the wavelet ridge principium is analyzed, and the proposed Morlet wavelet atom is used to extract the WRF of radar emitter signals. In addition, based on the time-frequency constraint characteristics in signal wavelet decomposition, the constraint-conditions of signal feature parameters are proposed in signal feature extraction processing. The simulation experiment results show that the new wavelet atom has better performances of detecting wavelet ridge and resisting noise thanthe commonness Morlet wavelet. The validity of the method is confirmed by the experiment results.