Radar cross-section measurements require the background reflections to be much lower than the reflections of the device under test. Although, anechoic chambers with special target holders meet this requirement, they are expensive and still have imperfections. To reduce background reflections in environments where an anechoic chamber is not suitable, digital signal processing can be used. A complete signal processing realized in Matlab and a compact RCS measurement setup is presented.

Our research on the performance analysis of 300 GHz backhaul links considering historic weather data can show the feasibility of wireless backhaul links at the frequency range of 300 GHz under the general mid-term weather changes in Hanover area or the area whose general climate conditions are similar to Hanover.

On the way to autonomous driving a safety proof is inevitable. Here simulators can help, but their accuracy is not good enough, yet. In order to improve such simulations, we analyzed the behaviour of road surfaces on radar sensors. Therefore, laboratory measurements and open space measurements were performed. Differences depending on material and roughness could be proved. Furthermore, material parameters were calculated, which can be mapped to roads in existing simulation setups.

Large numbers of unexploded World War II bombs are recovered from the ground every year. However, it is often not clear whether an anonamly in the ground is actually dangerous goods or scrap. In this thesis an application of borehole radar is investigated, with which first a 2D image and then a 3D representation of the buried object is to be generated. Both performed simulation and field measurements show good results, even if optimizations are still necessary in the 3D representation.

This paper evaluates a method for reconstructing the phase and amplitude of superimposed signals with a frequency separation smaller than the DTFT frequency resolution would allow to differentiate.