Sensor Arrangement in Monostatic Subsurface Radar Imaging

Subsurface Imaging using Ground-Penetrating Radar Measurements

Much work has been done toward reconstructing the electrical parameters of an unknown buried object. Many methods, and accompanying results from simulations, have been presented. Most research in the area, however, has been in developing imaging algorithms that have been tested primarily through computer simulation. This paper presents a newly constructed facility for ground-penetrating radar e...

Compressive sensing for subsurface imaging using ground penetrating radar

The theory of compressive sensing (CS) enables the reconstruction of sparse signals from a small set of non-adaptive linear measurements by solving a convex ‘1 minimization problem. This paper presents a novel data acquisition system for wideband synthetic aperture imaging based on CS by exploiting sparseness of pointlike targets in the image space. Instead of measuring sensor returns by sampli...

Subsurface polarimetric migration imaging for full polarimetric ground-penetrating radar

Xuan Feng,1,2 Yue Yu,1 Cai Liu1 and Michael Fehler2 1College of Geo-Exploration Science and Technology, Jilin University, No. 938 Xi MinZhu Street, Changchun 130026, China. E-mail: [email protected]; [email protected] 2Earth Resources Laboratory, Department of Earth, Atmospheric and Planetary Sciences, Massachusetts Institute of Technology, 77 Massachusetts Avenue, 54-225 Cambridge, MA 02139,...

Capon-Based Single-Snapshot DOA Estimation in Monostatic MIMO Radar

We consider the problem of single snapshot direction-of-arrival (DOA) estimation of multiple targets in monostatic multiple-input multiple-output (MIMO) radar. When only a single snapshot is used, the sample covariance matrix of the data becomes non-invertible and, therefore, does not permit application of Capon-based DOA estimation techniques. On the other hand, low-resolution techniques, such...

Imaging from monostatic scattered intensities