Title :
Ground surface scattering and clutter suppression in ground-penetrating radar applications
Author_Institution :
U.S. Army Res. Lab., Adelphi, MD, USA
Abstract :
A scattering and imaging, clutter characterization and suppression study is carried out to demonstrate the feasibility of sensing buried targets in a terrain environment with a rough ground surface. The investigation is pertinent to detection performance analysis and prediction for a vehicle-based, ultra-wideband, ground-penetrating radar system. In the electromagnetic domain, the scattering response of the terrain scene is computed with a parallelized finite-difference time-domain solver; subsequent multistatic image formation is obtained with a time-reversal based approach. In the image domain, the distribution of the ground clutter is analyzed, and a statistical polarimetric clutter reduction method is applied to improve the signal-to-background ratio.
Keywords :
buried object detection; finite difference time-domain analysis; ground penetrating radar; interference suppression; radar clutter; radar detection; radar imaging; radar polarimetry; remote sensing by radar; road vehicle radar; rough surfaces; statistical analysis; surface scattering; ultra wideband radar; buried target sensing; clutter characterization; clutter suppression; electromagnetic domain; ground clutter distribution; ground surface scattering; ground-penetrating radar system; image domain; parallelized finite-difference time-domain solver; rough ground surface; scattering response; signal-to-background ratio; statistical polarimetric clutter reduction method; subsequent multistatic image formation; terrain environment; terrain scene; time-reversal based approach; ultrawideband radar system; vehicle-based radar system; Clutter; Imaging; Radar imaging; Rough surfaces; Scattering; Surface roughness;
Conference_Titel :
Antennas and Propagation Society International Symposium (APSURSI), 2012 IEEE
Conference_Location :
Chicago, IL
Print_ISBN :
978-1-4673-0461-0
DOI :
10.1109/APS.2012.6347967