Time-Delay Estimation using Ground Penetrating Radar with a Support Vector Regression based Linear Prediction Method

Jingjing Pan (1) , Cédric Le Bastard (2) , Yide Wang (1) , Meng Sun (3)

1 IETR - Institut d'Électronique et des Technologies du numéRique
2 ENDSUM - Evaluation non destructive des structures et des matériaux
3 Shanghai Maritime University

Ground-penetrating radars (GPR) are widely used in media parameters' estimation and targets' localization. This paper focuses on time-delay estimation (TDE) using the GPR signal, which contains important information about the probed media structure. However, TDE tends to be a challenging task in GPR applications, in the scenarios of overlapping, coherent signals and limited snapshots. Forward-backward linear prediction (FBLP) is a high time-resolution method, which is able to directly deal with coherent signals. Support vector regression (SVR) is robust with small samples. Therefore, we propose to combine the theory of FBLP and SVR together to enhance the robustness of TDE in the case of coherent, overlapping signals as well as limited snapshots. The proposed method is tested with both numerical and experimental data. Both the results demonstrate the effectiveness of the proposed method.

Mots clés: Support Vector Regression (SVR); Time-Delay Estimation (TDE); Forward-Backward Linear Prediction (FBLP); Parameter estimation; Ground penetrating radar; low snapshots; Array signal processing

Domaines: Traitement du signal et de l'image [eess.SP]

Jingjing Pan, Cédric Le Bastard, Yide Wang, Meng Sun. Time-Delay Estimation using Ground Penetrating Radar with a Support Vector Regression based Linear Prediction Method. IEEE Transactions on Geoscience and Remote Sensing, 2018, 56 (5), pp.2833-2840. ⟨10.1109/TGRS.2017.2784567⟩. ⟨hal-01592913⟩