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.