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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。
The Photonic Doppler Velocimetry (PDV) system is a new laser velocimetry system that is widely used for the measurement of shock waves, detonation waves and other short-term high-speed motions. Data processing is an important part of PDV velocimetry technology and aims to obtain the velocity information of the moving body such as the target surface from a large amount of noise measurement data. Based on the analysis of the principle of velocity measurement in PDV system, the sources and characteristics of noise in laser shock enhancement PDV data are discussed. The principle of denoising in fringe method is explained. Some new processing methods are proposed for denoising in wavelet transform . The stripe method, short-time Fourier transform method and wavelet transform method were used to deal with the PDV data in the laser shock enhancement experiment. The three methods were compared from the perspective of error, processing real-time and versatility, Wavelet transform method is especially suitable for laser shock enhancement experiment PDV speed data processing.