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Reconstructing outside pass-band data to improve time resolution in ultrasonic detection

机译:重建外部通带数据以提高超声检测中的时间分辨率

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摘要

A combination deconvolution method is presented to increase the time resolution of an ultrasonic echo signal by reconstructing outside pass-band data. By the modified traditional Wiener inverse filter the filtered data are estimated, an autoregression (AR) model is obtained for these data inside the pass bands. Only the high frequency side data out of the pass bands are renewed by the autoregressive spectral extrapolation method. The optimized estimation is reconstructed using the combination of renewed and filtered data inside the pass bands. The results from the computer simulation and the experiments on measuring the thickness of thin multilayer materials show that this approach has improved time resolution performance.
机译:提出了一种组合反卷积方法,通过重建外部通带数据来提高超声回波信号的时间分辨率。通过修改后的传统维纳逆滤波器,可以对滤波后的数据进行估计,从而为通带内的这些数据获得自回归(AR)模型。通过自回归谱外推法仅更新通带之外的高频侧数据。使用通带内更新和滤波后的数据的组合来重建优化的估计。计算机仿真和测量多层薄材料厚度的实验结果表明,该方法具有改进的时间分辨率性能。

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