Enhanced GPR Signal for Layered Media Time-Delay Estimation in Low-SNR Scenario
| Autor: | Biyun Ma, Meng Sun, Gang Wei, Cedric Le Bastard, Yide Wang, Jianzhong Li |
|---|---|
| Přispěvatelé: | Institut d'Électronique et des Technologies du numéRique (IETR), Nantes Université (NU)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), Centre d'Etudes et d'Expertise sur les Risques, l'Environnement, la Mobilité et l'Aménagement - Direction Ouest (Cerema Direction Ouest), Centre d'Etudes et d'Expertise sur les Risques, l'Environnement, la Mobilité et l'Aménagement (Cerema), 201406150039, China Scholarship Council, 61201349, National Natural Science Foundation of China, European Cooperation in Science and Technology Action TU1208 Civil Engineering Applications of Ground Penetrating Radar, Université de Nantes (UN)-Université de Rennes 1 (UR1), Université de Nantes (UN)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS) |
| Rok vydání: | 2016 |
| Předmět: |
GPR signal enhancement
Media subspace method Compressive sensing (CS) compressive sensing method Noise measurement Computer science 0211 other engineering and technologies 02 engineering and technology layered-media backscattered echo Signal law.invention [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI] Signal-to-noise ratio law Radar imaging 0202 electrical engineering electronic engineering information engineering remote sensing by radar Electrical and Electronic Engineering Radar time-delay estimation (TDE) compressed sensing 021101 geological & geomatics engineering Remote sensing layered-media time-delay estimation Signal to noise ratio ground penetrating radar (GPR) Pulse-Doppler radar low signal-to-noise ratio signal enhancement 020206 networking & telecommunications Geotechnical Engineering and Engineering Geology [SPI.TRON]Engineering Sciences [physics]/Electronics Compressed sensing geophysical signal processing Ground-penetrating radar clustering technique eigenvalues and eigenfunctions ground penetrating radar Estimation Algorithm |
| Zdroj: | IEEE Geoscience and Remote Sensing Letters IEEE Geoscience and Remote Sensing Letters, IEEE-Institute of Electrical and Electronics Engineers, 2016, 13 (3), pp.299--303. ⟨10.1109/LGRS.2015.2502662⟩ IEEE Geoscience and Remote Sensing Letters, 2016, 13 (3), pp.299--303. ⟨10.1109/LGRS.2015.2502662⟩ |
| ISSN: | 1558-0571 1545-598X |
| DOI: | 10.1109/lgrs.2015.2502662 |
| Popis: | International audience; In this letter, a new method is proposed to enhance the ground-penetrating radar (GPR) signal for time-delay estimation in a low signal-to-noise ratio. It is based on a subspace method and a clustering technique. The proposed method makes it possible to improve the estimation accuracy in a noisy context. It is used with a compressive sensing method to estimate the time delay of layered media backscattered echoes coming from the GPR signal. Several simulations and an experiment are presented to show the effectiveness of signal enhancement |
| Databáze: | OpenAIRE |
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