Development of regularization methods on simulated ground-penetrating radar signals to predict thin asphalt overlay thickness
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- 作者：Shan Zhaoa ; szhao28@illinois.edu" class="auth_mail" title="E-mail the corresponding author ; Imad L. Al-Qadib ; alqadi@illinois.edu" class="auth_mail" title="E-mail the corresponding author
- 关键词：Ground-penetrating radar ; Range resolution ; Deconvolution ; Thin asphalt overlay ; Tikhonov regularization ; Total variation ; L-curve
- 刊名：Signal Processing
- 出版年：2017
- 出版时间：March 2017
- 年：2017
- 卷：132
- 期：Complete
- 页码：261-271
- 全文大小：2778 K
文摘
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Deconvolution can be used to increase GPR signal resolution.
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Tikhonov and total variation regularization can make deconvolution robust to small reflection and noise.
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Simulation and field example show that accurate layer thickness can be obtained when the duration between two pulses is larger than 0.51 ns.