3D UWB radar super-resolution imaging for complex objects with discontinous wavefronts

This paper deals with problems related to the accurate identification and super-resolution Ultra-wideband (UWB) imaging of complex shaped 3D Objects. Current state of research solves the related upcoming challenges by just using inverse scattering algorithms and a 2D scan track (which provides only a limited perspective) or applying such algorithms only to objects with rather simple concave or convex contours. But a full perspective of the object needs circumnavigation to extract entirely all stereoscopic distributed contour pixels. The applicability of the known Range Points Migration (RPM) is investigated. In order to reconstruct a full 3D object contour, the so far planar scanning of the antennas is modified and extended to a spatial scanning including the z-axis. An experimental validation is carried out based on complex test objects with small shape variations relative to the used wavelength, an M-sequence Radar device and double ridged horn antennas.