Off-Grid Time-Delay Estimation for Ground Penetrating Radar: A Nested Sampling Based Block Sparse Representation Method - Archive ouverte HAL
Poster De Conférence Année : 2024

Off-Grid Time-Delay Estimation for Ground Penetrating Radar: A Nested Sampling Based Block Sparse Representation Method

Résumé

In this paper, we propose a nested sampling based off-grid block sparse representation method (Nested-OGBSR) for time-delay estimation (TDE) of coherent ground penetrating radar (GPR) backscattered echoes. Nested sampling strategy is taken to reduce the sampling rate and complexity burden. The off-grid data model is adopted to eliminate the effect of basis mismatch caused by the predefined grids in sparse repre- sentation (SR) and thus improve the estimation accuracy. The non-circularity of GPR signals is also utilized to enhance the temporal resolution of BSR. Numerical results are provided to show the superiority of the proposed method in terms of estimation accuracy, temporal resolution and computational complexity.
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Dates et versions

hal-04508423 , version 1 (18-03-2024)

Identifiants

  • HAL Id : hal-04508423 , version 1

Citer

Huimin Pan, Jingjing Pan, Meng Sun, Xiaofei Zhang, Yide Wang. Off-Grid Time-Delay Estimation for Ground Penetrating Radar: A Nested Sampling Based Block Sparse Representation Method. IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2024), Jul 2024, Athenes, Greece. pp.#1595, 2024. ⟨hal-04508423⟩
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