Title :
Buried-Object Time-Reversal Imaging Using UWB Near-Ground Scattered Fields
Author :
Moghadasi, S. Mahdi ; Dehmollaian, Mojtaba
Author_Institution :
Sch. of Electr. & Comput. Eng., Univ. of Tehran, Tehran, Iran
Abstract :
In this paper, the problem of time-reversal imaging (TRI) of buried dielectric and metallic targets under Gaussian rough surfaces is studied. For the scattering problem, a parallel finite-difference time-domain technique is used. Using a multistatic scattering matrix of a TR operator at a frequency range of 0.5-2.5 GHz, ultrawideband (UWB) TR multiple signal classification images are calculated. First, to reduce the clutter influence, near-ground UWB scattered fields are used. It is shown that employing received signals near the ground instead of those at the transmitter height improves the signal-to-clutter power ratio by at least 10 dB at 1 GHz. Second, a time-gated (TG) TRI algorithm is proposed to better detect and localize buried targets in the presence of clutter. Third, once the TG TR images are obtained, best single-frequency TR images are calculated, yielding even better target localization.
Keywords :
Gaussian processes; buried object detection; clutter; finite difference time-domain analysis; image classification; image sensors; matrix algebra; rough surfaces; ultra wideband technology; Gaussian rough surface; TG; UWB near-ground scattered field; buried dielectric target imaging; buried metallic target imaging; buried target detection; buried target localization; buried-object time-reversal imaging; clutter influence reduction; frequency 0.5 GHz to 2.5 GHz; multistatic scattering matrix; parallel finite-difference time-domain technique; signal-to-clutter power ratio; single-frequency TR image calculation; time-gated TRI algorithm; ultrawideband TR multiple signal classification imaging; Clutter; Finite difference methods; Rough surfaces; Scattering; Surface roughness; Thyristors; Time-domain analysis; Bistatic scattering; TR imaging (TRI); forward-looking ground-penetrating radar (FL-GPR); rough ground; time-gated (TG) time reversal (TR);
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
DOI :
10.1109/TGRS.2014.2311131