小波滤波器在弱信号检测中的应用及设计

Application and Design of the Wavelet Filter in Weak Signal Detection

根据小波变换的多尺度分解特性,构造了一种小波能量积累器,将不同分解尺度上的能量进行积累。在此基础上设计了一种用于弱信号检测的小波能量检测法,并对低信噪比信号的检测进行了仿真实验。仿真结果表明,该检测法对低信噪比信号是比较有效的,而且与传统的脉内累加平均的信号检测方法相比。

A wavelet energy accumulation model, which can be used to obtain the accumulation in different decomposition scales, is designed on the basis of multi scale decomposition properties of wavelet transform. Furthermore, a wavelet energy detecting method for weak signal detection is presented, and the detection of signals with low signal to noise ratios (SNR) is experimentally simulated. The simulation results show that the detecting method proposed in this paper is fairly effective in detecting low SNR weak signals, and is advantageous over the conventional method which uses accumulating and averaging within a pulse.