Measurement at millimeter-wave frequencies are prone to parasitic effects which distort the overall results. Especially the use of RF probes introduces unknown distortions, even after the measurement setup is calibrated. This works investigates these distortions based on electromagnetic field simulations of integrated circuits in conjunction with models of the used RF probes. This allows to comprehend the observed distortions and successfully resolve the root of the distortions. This work was published by Saint Philip Street Press pursuant to a Creative Commons license permitting commercial use. All rights not granted by the work's license are retained by the author or authors.

Measurement at millimeter-wave frequencies are prone to parasitic effects which distort the overall results. Especially the use of RF probes introduces unknown distortions, even after the measurement setup is calibrated. This works investigates these distortions based on electromagnetic field simulations of integrated circuits in conjunction with models of the used RF probes. This allows to comprehend the observed distortions and successfully resolve the root of the distortions.

During the evolvement of autonomous driving technology, obtaining reliable 3-D environmental information is an indispensable task in approaching safe driving. The operational behavior of automotive radars can be precisely evaluated in a virtual test environment by modeling its surrounding, specifically vulnerable road users (VRUs). Such a realistic model can be generated based on the radar cross section (RCS) and Doppler signatures of a VRU. Therefore, this work proposes a high-resolution RCS measurement technique to determine the relevant scattering points of different VRUs.

Accompanied with the development of the wireless communication technologies, the high data traffic is more necessary for civil and industrial applications than ever The concept of an intelligent reflective surface (IRS) has attracted considerable attention recently as a low-cost solution. As the main contribution, the dissertation creates new state-of-the-art and formulates a solid milestone for the IRS research field.

Radar target simulators (RTSs) deceive a radar under test (RuT) by creating an artificial environment consisting of virtual radar targets. In this work, new techniques are presented that overcome the rasterization deficiency of current RTS systems and enable the generation of virtual targets at arbitrary high-precision positions. This allows for continuous movement of the targets and thus a more credible simulation environment.

The aim of this work is the development of a Radar system for consumer applications. It is capable of tracking multiple people in a room and offers a touchless human-machine interface for purposes that range from entertainment to hygiene.