基于小波分析的脉冲信号波形检测方法

A Waveform Detection Method of Pulse Signals Based on Wavelet Analysis

通过对多种小波函数的分析、比较,提出了一种基于小波分析的脉冲信号时域波形检测方法,该方法利用小波变换模的极大值特性,较好地实现了对脉冲成形信号波形参数的检测。理论分析和仿真研究结果表明,该方法对高斯噪声信道具有较强的适应能力,并且算法简单、运算量小、信号参数检测精度高,具有较好的工程应用前景。

A waveform detection method of the pulse signals based on wavelet analysis is put forward. This method can implement the detection for pulse signal waveform parameters by using the modular maximum of wavelet transform. By comparing various wavelet functions, Gaussian wavelet is used to detect the waveform parameter of pulse shaping signal. Theoretical analysis and simulation results show that this method has higher adaptability for Gaussian noise channel environment, lower computational complexity and more accurate estimation and better prospect in engineering applications.