WAVE-OPT – Analyse und Optimierung von nicht abstrahlenden geschlitzten Hohlleitern für die Datenübertragung
Duration
2024 - 2027
Principal Investigator (Universität Innsbruck)
DI Dr. techn. Dominik Mair
Dipl.-Ing. Simon Marxgut, BSc
Collaboration Partner
VAHLE Automation, Universität Innsbruck
The project is funded by the State of Tyrol.
The “WAVE-OPT” project aims to explore and optimize the fundamentals and application possibilities of non-radiating slotted waveguides (NRSWs) for industrial communication systems. This technology offers great potential for data transmission in high-frequency environments, particularly in the field of the Industrial Internet of Things (IIoT). By investigating the fundamental principles of electromagnetic propagation in NRSWs and optimizing the feeding structures, the project seeks to develop high-performance communication systems with high bandwidth and low latency for mobile applications.
NRSWs provide excellent shielding of electromagnetic fields due to their special geometry, making them ideal candidates for use in environments with high signal interference from other wireless signals. The project focuses on optimizing the feeding mechanisms for NRSWs to ensure the highest possible signal quality with minimal losses. Additionally, signal transmission is studied through simulations and experimental measurements in real-world application scenarios.
The research combines theoretical analyses with practical experiments. Simulations using advanced tools such as Ansys HFSS, along with complex measurements in an electromagnetically shielded laboratory, are used to optimize the performance of NRSWs for future industrial applications.
Long-Term Vision
The “WAVE-OPT” project aims not only to establish the technological foundation for NRSW-based communication systems but also to strengthen the collaboration between the University of Innsbruck and industry. The optimized systems could play a key role in the development of high-performance data transmission networks and significantly enhance the efficiency of communication systems in industrial environments.