Modern integrated circuits for wireless communication include several receive and transmit path as well as large digital blocks for signal processing. Due to the complexity of these system only event-driven simulation are fast enough for system simulation. This work describes the development of a fast and accurate event-driven frequency divider model with special focus on its transfer characteristic of harmful spurious tones. A simulation example of a receiver is given.

A target simulator for RFID direction of arrival estimation systems is proposed. This simulator can be used in the evaluation of such systems and offers a method for fast, economical and, above all, reproducible and transferable analysis of their performance. Signal models and descriptions of two typical detrimental propagation effects are derived. The developed system structure and hardware modules are presented and exemplary evaluation results are given, showing the application of this method.

In this work, silver and gold nanoparticle inks were printed by a consumer inkjet printer on eco-friendly substrates like paper and PET in order to make the RFID tag manufacturing process less harmful to the ecosystem. A dipole antenna was designed and based on this design, simulations of the greener tags are presented and compared as a proof of concept for the different materials. First measurements are conducted and simulations with the optimized antenna designs are shown.

This work presents a deep learning approach to classify road users as pedestrians, cyclists or cars using a lidar sensor for detection and a radar sensor for classification. A dataset was gathered on urban roads to train and test the deep learning algorithms. The results show that the system reliably classifies cars, but has trouble with pedestrians and cyclists. The results are improved after aggregating decisions with a Bayes filter. Overlapping targets remain a challenge for the system.

Synthetic Aperture Radar is an efficient solution for traffic monitoring due to its high spatial resolution and independence from daylight and weather conditions. This paper presents a fast processor based on the powerful post-Doppler space-time adaptive processing technique. The algorithm has great potential for real-time processing, decreased hardware complexity and low costs compared to state-of-the-art systems. It is tested using real 4-channel data acquired with the DLR’s airborne F-SAR.

Today's wireless transceivers are demanding for lowest power consumption to support long battery lifetime. These architectures utilize dutycycle schemes based on ultra-low-power (ULP) oscillators to reduce power consumption. These ULP oscillators are either using external components increasing the cost or they need calibration techniques to achieve absolute accuracy. This work presents an improved ULP calibration technique overcoming typical limitations of settling time and calibration accuracy.