Photo: Christian Schmid

Welcome to the Institute of High-Frequency Technology

On our website you will find insights into our diverse research projects, as well as information about our staff, courses, publications, and the latest news from our institute.

Together with our project partners, we conduct research on innovative topics such as non-contact vital signs measurement using radar for medical, veterinary and industrial applications. Other projects focus on ultra-low power communication networks, permittivity measurements and quantum computing research.

A distinctive feature of our institute is our combination of theoretical and experimental work. We employ advanced simulation techniques, manufacturing processes, precision measurement technology, as well as signal processing and machine learning for data analysis. Thanks to our in-house PCB manufacturing, precision mechanics workshop, and various 3D printers, we can rapidly implement theoretical concepts and test them in our antenna measurement chamber or on our linear stage.

Feel free to contact us directly to learn more about our work.

You can also find us here:

News at the IHF

12.05.22
On September, 13th and 14th, 2022 the Hamburg University of Technology will host the 1st Summer School for Machine Learning in Engineering. The Institute of High-Frequency Technology is one of the co-organizers.
10.05.22
On 10th Mai 2022 Mr. M.Sc Moritz Hägermann successfully defended his docotoral thesis with the titel "Backward-Wave Phenomena in Helix Traveling-Wave Tube Amplifiers".
22.04.22
Caspar Wasle wurde als Teilnehmer des International Space Weather Camps (ISWC) ausgewählt. Dieses vom DLR Neustrelitz, der South African National Space Agency (SANSA) und der University of Alabama in Huntsville organisierte Camp bietet Studenten und Absolventen von Studienfächern der Mathematik, Physik, Informatik und Ingenieurswissenschaften die Möglichkeit, sich intensiv mit dem spannenden und hochaktuellen Thema Weltraumwetter zu beschäftigen. Caspar Wasle hat sich zuvor als Wissenschaftliche Hilfskraft und im Rahmen seiner Bachelorarbeit am Institut im Bereich der Satellitenkommunikation (SANTANA-Aero 2) als äußerst engagierter Student hervorgetan. Wir haben Ihn sehr gerne bei seiner Bewerbung für einen Platz beim ISWC unterstützt und freuen uns, dass wir ihm nun zur Annahme gratulieren können. Im Namen des ganzen Instituts wünschen wir Caspar viel Spaß während der drei sicherlich sehr interessanten und lehrreichen Wochen.
28.01.22
Das Institut für Hochfrequenztechnik (IHF) der Technischen Universität Hamburg (TUHH) hat gemeinsam mit Forschern der FAU Erlangen-Nürnberg und der BTU Cottbus einen Artikel in der multidisziplinären Open-Access-Zeitschrift IEEE Access vorgestellt, bei dem die Einsatzmöglichkeiten von maschinellem Lernen zur Schätzung der Einfallsrichtung in Automobilradarsystemen untersucht werden.
24.11.21
Die virtuelle Veranstaltung “Artificial Intelligence in Engineering” bringt jedes Jahr eine Vielfalt von Anwendern aus den Ingenieurwissenschaften und verwandter Gebiete zusammen, um die neuesten AI-Trends in ihrer Berufs-Praxis vorzustellen. Das Event wurde dieses Jahr eröffnet durch die Keynote “Machine Learning in Engineering and Materials Science: On Your Marks, Get Set, … Go!?” von den MLE-Mitgliedern Christian Feiler, Fabian Lurz, Robert Meißner, Stefan Schulte, Christian Schuster und Gregor Vonbun-Feldbauer.
21.09.21
Das Institut für Hochfrequenztechnik (IHF) hat gemeinsam mit der FAU Erlangen-Nürnberg und Infineon Technologies AG einen neuen Ansatz des maschinellen Lernens vorgestellt, der mit einem hochintegrierten Radarsystem zuverlässig Personen erkennen und deren Aktivitäten klassifizieren kann.
07.03.22
Our paper "Analytic study of packet delay from 4G and 5G system ARQs using Signal Flow Graphs" has been accepted for IEEE VTC2020-Spring conference held in May 2020.
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07.03.22
We are glad to announce that we will start the course on the 21st of April, 2020 as planned. The teaching is going to be online. Please make sure that you register to this course on StudIP as this is our main communication platform.
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07.03.22
Our paper "Deployment of Incremental Learning Methods for Neural Networks in Resource Allocation Problems" has been accepted for 2020 "KuVS Fachgespräche: Machine Learning & Networking workshop", https://mlkuvs.lkn.ei.tum.de/, held in February 2020 at TU Munich.
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07.03.22
During the week of 10th to 14th of February, 56 students and 20 teachers from Norway, Denmark, Latvia, Poland, Germany, the Netherlands, Spain, Turkey and Brazil work in groups on real projects. After this week, they go back home and will continue to work together, via online colloberations. The event was organised by us to let all teachers and students meet together to discuss projects as a part of EPIC project.
07.03.22
We are glad to inform you that we were the winners of Science Slam held at the 2nd Digital Science Night organised by NoLs on the 23rd of January, 2020. We presented the machine learning concept of supervised learning under the title of Dance Dance Machine Learning Revolution. In contrast to a traditional Science Slam, we presented supervised learning through music and dance, as a team effort. Our team consisted of members from the Institute of Communication Networks, the Institute of Technical Education and University Didactics, together with bachelor and masters students, collectively representing the Hamburg University of Technology.
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07.03.22
We are happy to contribute to the 2nd Digital Science Night organised by Network of Labs.
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07.03.22
Our paper “Markov-modulated Models to Estimate the Age of Information in Cooperative Driving” has been accepted for 2019 IEEE Vehicular Networking Conference (VNC), will be held in 5–6 December 2019 in Los Angeles, USA.
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07.03.22
ComNets together with the Institute of Telematics organised the 6th OMNeT++ summit, held at TUHH from 4th to 6th of September, 2019. More details are here: https://summit.omnetpp.org/2019/
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07.03.22
Our paper “Performance Evaluation of Automated Guided Vehicles: Use Case of using OMNeT++ in a Master’s Thesis” has been accepted for 6th OMNeT++ Summit, will be held in 4–6 September 2019 at Hamburg University of Technology, Germany.
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