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首页> 外文期刊>IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control >Multi-frequency time-reversal-based imaging for ultrasonic nondestructive evaluation using full matrix capture
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Multi-frequency time-reversal-based imaging for ultrasonic nondestructive evaluation using full matrix capture

机译：基于全频捕获的基于多频率时间反转的超声无损评估成像

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摘要

In this paper, two multi-frequency time-reversal (TR)-based imaging algorithms are explored for application to the nondestructive evaluation (NDE) imaging of defects in solids: time reversal with multiple signal classification (TRMUSIC) and a related phase-coherent form (PC-MUSIC). These algorithms are tested with simulated and experimental ultrasonic array data acquired using the full matrix capture (FMC) process. The performance of these algorithms is quantified in terms of their spatial resolution and robustness to noise. The effect of frequency bandwidth is investigated and the results are compared with the single-frequency versions of these algorithms. It is shown that both TR-MUSIC and PCMUSIC are capable of resolving lateral targets spaced closer than the Rayleigh limit, achieving super-resolution imaging. TR-MUSIC can locate the positions of scatterers correctly, whereas the results from PC-MUSIC are less clear because of the presence of multiple peaks in the vicinity of target. However, an advantage of PC-MUSIC is that it can overcome the elongated point spread function that appears in TR-MUSIC images, and hence provide enhanced axial resolution. For high noise levels, TR-MUSIC and PC-MUSIC are shown to provide stable images and suppress the presence of artifacts seen in their single-frequency equivalents.
机译：在本文中，探索了两种基于多频率时间反转（TR）的成像算法，用于固体缺陷的无损评估（NDE）成像：具有多个信号分类的时间反转（TRMUSIC）和相关的相干表格（PC-MUSIC）。这些算法通过使用全矩阵捕获（FMC）过程获取的模拟和实验超声阵列数据进行测试。这些算法的性能根据其空间分辨率和抗噪声能力进行了量化。研究了频率带宽的影响，并将结果与​​这些算法的单频版本进行了比较。结果表明，TR-MUSIC和PCMUSIC都能够分辨距离比瑞利极限更近的横向目标，从而实现超分辨率成像。 TR-MUSIC可以正确定位散射体的位置，而PC-MUSIC的结果却不太清楚，因为目标附近存在多个峰。但是，PC-MUSIC的一个优点是它可以克服TR-MUSIC图像中出现的拉长点扩散功能，从而提供增强的轴向分辨率。对于高噪声水平，TR-MUSIC和PC-MUSIC被证明可以提供稳定的图像并抑制单频等效中出现的伪像。

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