Article Dans Une Revue IEEE Geoscience and Remote Sensing Letters Année : 2025

Co-prime Sampling based Gridless Time-Delay Estimation for Ground Penetrating Radar System with Enhanced Single Measurement Vector

Résumé

Time-delay estimation (TDE) holds great significance in pavement surveys, especially in the modern transportation system. Established on the ideal Dirac pulse and white Gaussian noise, the performance of the existing TDE methods may degrade in practical ground penetrating radar (GPR) detection, where radar pulse and noise distribution are diverse. In this letter, we develop a gridless TDE method considering the radar pulse and noise pattern in GPR detection. Co-prime sampling strategy is applied to reduce the number of frequency samples compared with conventional uniform sampling. With the prior knowledge of radar pulse and noise distribution, an enhanced measurement vector is generated from the data covariance matrix, thus improves the signal quality compared with the conventional methods simply assuming ideal Dirac pulse and white Gaussian noise. Subsequently, the time-delays are estimated by the proposed atomic norm minimization (ANM) method, where the complexity is further reduced compared with the previous works using multiple measurements. Simulation results show the advantages of the proposed method in terms of running time, weak echo detection, and estimation accuracy.
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Dates et versions

hal-04896559 , version 1 (20-01-2025)

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Huimin Pan, Jingjing Pan, Xiaofei Zhang, Yide Wang. Co-prime Sampling based Gridless Time-Delay Estimation for Ground Penetrating Radar System with Enhanced Single Measurement Vector. IEEE Geoscience and Remote Sensing Letters, inPress, pp.1-1. ⟨10.1109/LGRS.2025.3530980⟩. ⟨hal-04896559⟩
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