Analysis of velocimetry data based on continuous wavelet transform: Application to shock wave physics experiments

A. Sur, A. Rav, G. Pandey, K. Joshi, S. C. Gupta
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引用次数: 3

Abstract

Interferometry is well established technique for measuring particle velocity in shock wave physics experiments, where velocity information is encoded as the phase of a periodically varying intensity pattern. Conventional phase stepping technique by using a pair of quadrature signals cannot resolve rapid velocity changes and sub-fringe phenomena accurately in most of the velocimetry data. In this report a practical analysis method based on the Continuous Wavelet Transform (CWT) is presented to overcome these difficulties. CWT uses an adaptive time window to estimate the instantaneous frequency of signals. We begin by reviewing the CWT and the time-frequency localization properties of wavelets. The instantaneous frequencies of signal are accurately determined by finding the ridge in the scalogram of the CWT and then are converted to target velocity according to Doppler effects. A performance comparison between the CWT and phase stepping technique is demonstrated by a plate impact experimental data of Al-2024T4 material. Results illustrate that new method is superior in terms of accuracy and analysis simplicity.
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基于连续小波变换的测速数据分析:在冲击波物理实验中的应用
干涉测量是在冲击波物理实验中测量粒子速度的成熟技术,其中速度信息被编码为周期性变化的强度模式的相位。在大多数测速数据中,利用一对正交信号的传统相位步进技术不能准确地解决速度的快速变化和亚条纹现象。本文提出了一种基于连续小波变换(CWT)的实用分析方法来克服这些困难。CWT使用自适应时间窗来估计信号的瞬时频率。我们首先回顾了CWT和小波的时频局部化特性。通过在CWT尺度图中查找脊线精确确定信号的瞬时频率,然后根据多普勒效应将其转换为目标速度。通过Al-2024T4材料的平板冲击实验数据,比较了CWT和相位步进技术的性能。结果表明,新方法具有较高的准确度和分析简便性。
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