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Article Dans Une Revue IEEE Transactions on Geoscience and Remote Sensing Année : 2021

Time delay estimation by a modified orthogonal matching pursuit method for rough pavement

Résumé

Pavement survey is one of the most important applications for ground penetrating radar (GPR) in civil engineering. In the case of centimeter scale of GPR waves, the influence of interface roughness cannot be neglected and should be taken into account in the radar data model. The objective of this article is to estimate the time-delay in the presence of interface roughness by GPR. Using the property of noncircular signals, we propose a modified orthogonal matching pursuit method to estimate the pavement parameters for both overlapped and nonoverlapped echoes. Compared with subspace-based methods in coherent scenarios, the proposed method can estimate the time delays of backscattered echoes without applying the cumbersome interpolation and spatial smoothing procedures, which are more practical in real applications. The performance of the proposed method is tested on both simulated and experimental data. The estimation results show the good performance of the proposed method.
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Dates et versions

hal-02877473 , version 1 (25-10-2021)

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Jingjing Pan, Meng Sun, Yide Wang, Cédric Le Bastard, Vincent Baltazart. Time delay estimation by a modified orthogonal matching pursuit method for rough pavement. IEEE Transactions on Geoscience and Remote Sensing, 2021, 59 (4), pp.2973-2981. ⟨10.1109/TGRS.2020.3006509⟩. ⟨hal-02877473⟩
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