光子多普勒速度测量系统的数据处理技术

Data Processing of Photonic Doppler Velocimetry System

光子多普勒速度测量（PDV）系统是一种新型的激光测速系统，可广泛用于冲击波、爆轰波以及其他短时高速运动的测量。数据处理是PDV测速技术重要的组成部分，旨在从含有大量噪声的测量数据中获得靶面等运动体的速度信息。在分析PDV系统测速原理的基础上，分别采用条纹法、短时傅里叶变换法和小波变换法对激光冲击强化实验中自由靶面运动的PDV数据进行了处理。针对其中的去噪、奇异点、小波基的选择等问题，提出了一些独特的处理方法。同时，对3种处理方法的误差、实时性、有效性进行了比较。

Photonic Doppler velocimetry （PDV） is a new type of laser velocimetry system. It is widely used in the velocity measurement of the shock wave, detonation wave and other short-time high-velocity movement. Data processing is an important part of it, which purpose is to obtain the velocity information of the moving target from the measurement data mixed with a lot of noise. Based on the PDV principle, target PDV data, obtained from laser shock peening experiment, are processed using the fringe method, short time Fourier transform（STFT） and continuous wavelet transform （CWT）. Some unique methods are proposed to eliminate noise, singularities and choose the optimal wavelet. At the same time, the errors, real-timing and validity of the three methods are compared,