光子多普勒速度测量系统的数据处理方法

Data Processing of Photonic Doppler Velocimetry System

光子多普勒速度测量(Photonic Doppler Velocimetry,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,讨论了激光冲击强化实验PDV数据中噪声的来源和特点,解释了条纹法的去噪原理,并针对小波变换的去噪问题,提出了一些新的处理方法。分别采用条纹法,短时傅里叶变换和小波变换法对激光冲击强化实验中的PDV数据进行了处理,从误差、处理的实时性和通用性等角度对三种方法进行了比较,并说明了小波变换法特别适合激光冲击强化实验PDV测速数据的处理。

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,the sources and characteristics of noise about PDV data obtained from laser shock peening experiment are discussed.The de-noising principle of the fringe method is explained.Some unique methods are proposed to eliminate noise in wavelet transform.PDV data were processed using the fringe method,short time Fourier transform and wavelet transform.The errors,real-time processing and versatility about the three methods are compared.It is shown that wavelet transform is particularly suitable to PDV data processing of laser shock peening experiment.