Scattering matrix decomposition of quad-polarized short-range ultrawideband Radar data

Scattering matrix decomposition is a well-known and powerful tool in the remote sensing community for the Earth´s surface interpretation, classification and segmentation. In this paper the Pauli Matrix decomposition is applied onto short-range quad-polarized UWB-Radar to extract meaningful object features. A circular synthetic aperture was spanned around the objects under test to extract entirely all scattering centres in quad-polarized condition. The decomposed data were subsequently imaged by a migration algorithm. These microwave images fully prove the robustness of the decomposition theorem in the field of UWB by producing high dynamic range super-resolution feature maps and images, respectively. The experimental validation is carried out with a pair of two tapered slot line Vivaldi antennas integrated in a conical shaped Teflon rod and an M-sequence Radar device.