The main research effort of the department Advanced System Engineering (ASE) is focusing on designing robust micro and nanoelectronic systems by using efficient simulation methods and by measuring and characterizing precisely their performances. Especially, an expertise in the area of wireless sensor systems including Radio-Frequency and RFID technologies for harsh environments was developed and finds its application in specific industrial custom needs. Already in the early design stages, the constitution of these systems on both electronic and antenna sides takes all relevant disturbances like conducted or radiated parasitical electromagnetic effects into account. This approach allows to guarantee the electromagnetic compatibility (EMC), the signal integrity (SI) and the electromagnetic reliability (EMR) from the IC-level through packages up to the printed circuit board.
Beside wireless sensing and communicating systems, the department ASE has developed a strong know-how in the area of cordless energy transfer with high efficiency. For this, an optimized antenna array structure combined to a self-adaptive driving power electronics device was designed. This smart combination of antenna and electronics increases both the efficiency and the positioning freedom of the system by limiting drastically the produced electric smog, making the system applicable in close proximity to human beings.
In order to conduct such research, methods for the calculation of electromagnetic fields and circuits are applied at both analoge and mixed-signal levels in order to analyze the transmission behavior (i.e. crosstalk, reflection, changes of the nominal signal waveform) in the time and frequency domain. Advanced and precise simulation models and algorithms like the event-driven approach enable the very fast simulation and characterization of mixed-signal systems, reducing drastically the needed design time and thus the time to market gap. These methods are linked via well-defined interfaces with established software, such as Cadence/Spectre, SPICE or Matlab/Simulink, to enable efficient and robust top-down designs and bottom-up verifications.
The most important partner of the department ASE is the University of Paderborn, Department of Sensor Technologie of the Institut of Electrical and Computer Engineering at the Faculty of Electrical Engineering, computer science and mathematics.