4.7 Article

Time-Delay Estimation by a Modified Orthogonal Matching Pursuit Method for Rough Pavement

Journal

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
Volume 59, Issue 4, Pages 2973-2981

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TGRS.2020.3006509

Keywords

Ground penetrating radar; Matching pursuit algorithms; Estimation; Frequency measurement; Media; Data models; Ground penetrating radar (GPR); interface roughness; orthogonal matching pursuit (OMP); time-delay estimation (TDE)

Funding

  1. Shanghai Sailing Program [19YF1419100]
  2. Key Laboratory of Dynamic Cognitive System of Electromagnetic Spectrum Space (Nanjing University of Aeronautics and Astronautics), Ministry of Industry and Information Technology [KF20202101]
  3. French National Research Agency (ANR) [ANR-18-CE22-0020]

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This article focuses on estimating the time-delay in the presence of interface roughness by GPR, proposing a modified method that can estimate pavement parameters without the need for cumbersome interpolation and spatial smoothing procedures in real applications. The performance of the method is tested on simulated and experimental data, showing good results.
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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