DocumentCode
1521125
Title
Time-domain sensing of targets buried under a Gaussian, exponential, or fractal rough interface
Author
Dogaru, Traian ; Carin, Lawrence
Author_Institution
Dept. of Electr. & Comput. Eng., Duke Univ., Durham, NC, USA
Volume
39
Issue
8
fYear
2001
fDate
8/1/2001 12:00:00 AM
Firstpage
1807
Lastpage
1819
Abstract
The authors numerically examine subsurface sensing via an ultrawideband ground penetrating radar (GPR) system. The target is assumed to reside under a randomly rough air-ground interface and is illuminated by a pulsed plane wave. The underlying wave physics is addressed through application of the multiresolution time-domain (MRTD) algorithm. The scattered time-domain fields are parametrized as a random process and an optimal detection scheme is formulated, accounting for the clutter and target signature statistics. Detector performance is evaluated via receiver operating characteristics (ROCs) for variable sensor parameters (polarization and incident angle) and for several rough-surface statistical models
Keywords
backscatter; buried object detection; geophysical techniques; radar clutter; radar cross-sections; radar theory; remote sensing by radar; rough surfaces; terrain mapping; terrestrial electricity; Gaussian interface; backscatter; buried object detection; clutter; exponential interface; fractal rough interface; geoelectric method; geophysical measurement technique; ground penetrating radar; land surface; multiresolution time domain algorithm; optimal detection; pulsed plane wave; radar remote sensing; radar scattering; random process; randomly rough air ground interface; receiver operating characteristics; subsurface sensing; target signature statistics; terrain mapping; terrestrial electricity; time domain; ultrawideband; Clutter; Detectors; Ground penetrating radar; Physics; Radar detection; Radar scattering; Random processes; Statistics; Time domain analysis; Ultra wideband technology;
fLanguage
English
Journal_Title
Geoscience and Remote Sensing, IEEE Transactions on
Publisher
ieee
ISSN
0196-2892
Type
jour
DOI
10.1109/36.942559
Filename
942559
Link To Document