基于静态小波变换的雷达信号特征点检测方法

Radar Signal Characteristic Point Detection Based on Stationary Wavelet Transform

提出了一种基于静态小波变换的特征点检测方法,该方法能够精确定位特征点的位置,并且对输入信号的平移不敏感。利用静态小波变换系数的梯度和幅值构造一个准则函数,初步确定候选特征点出现的位置,再根据小波模极大值随尺度变化的李氏指数规律确认特征点。仿真试验证明,该算法能够在多种噪声干扰下有效检测出特征点。

A characteristic point detection method based on Stationary Wavelet Transform is proposed and it is insensitive to shift of signals and can accurately locate the position of characteristic points.A criterion function is constructed with the method using the gradients and magnitudes of SWT wavelet coefficients to preliminarily locate the candidates of characteristic points,and then to make decision on the candidate characteristic points according to Lipschitz Exponent theory about the variation of wavelet extrema with respect to scale change.Simulation results prove that the proposed method is capable of detecting characteristic points under several kinds of additional noise.