Super-Resolution Object Recognition Approach for Complex Edged Objects by UWB Radar

Abstract

Technical investigation, research and development in the wide field of security technology have been increased in recent years. Robotics as a great deal of this progress aims at advanced mobile security robots that can measure their surrounding environment accurately and provide various sensing applications. These robots will gain a steady increasing importance in private homes, industry and military. Such robots equipped with Ultra Wideband (UWB) Radar are promising for near field, non-contacting and nondestructive sensing technologies. Compared to optical or infrared systems UWB Radar does not need a visual LOS condition which makes it suitable for smoke and dust filled emergency scenarios. In contrast to common CW-Radar, due to the wide frequency band which corresponds to a high resolution in time domain, UWB Radar is possible to separate multiple reflections of multipath propagation in sub-centimetre range. Because of the presence of low frequencies UWB Radar systems are able to penetrate dielectric materials to perform subsurface imaging. Hence, UWB has superior advantages compared to classical near-field sensing technologies which make it an ideal candidate for security robots. The object recognition (OR) method proposed in this work is part of a super-resolution Radar imaging system by backscattered UWB signals on the basis of a reference data set. The purpose of this method is detection, recognition and classification of unknown objects.