Robin Anger from the Faculty of Engineering publishes the results of his final thesis at the GeMiC conference in Dresden in March
The GeMiC 2025 - 16th German Microwave Conference - will take place at TU Dresden from 17 to 19 March. Together with supervisor Prof. Dr.-Ing. habil. Marco Krondorf, Robin Anger, a graduate of Electrical Engineering and Information Technology in the Electronic Circuit Technology and Signal Processing programme, will be able to present the results of his Bachelor's thesis at the renowned conference.
Robin Anger's bachelor's thesis "Neural Network-Based Jamming Detection and SINR Estimation for Linearly Modulated Signals" deals with the detection of jamming, the detection of interfering signals in radio systems. His work deals with the use of neural networks for jamming detection. He combines statistical detection methods that were originally developed by Prof Marco Krondorf.
Conventional detection methods for narrowband jammers are based on the measurement of unexpected harmonics in the useful signal spectrum. However, these methods become increasingly inaccurate, especially when the signal-to-noise ratio is low. Prof Krondorf then developed numerous other statistical metrics for jammer detection.
Combining these new metrics was the task of Robin Anger's bachelor thesis. Anger trained various types of neural networks and analysed their reliability. As a result, it is now possible to distinguish jamming from thermal noise.
"The publication is an outstanding student achievement and demonstrates the close link between teaching and the current state of science," emphasises Prof. Krondorf.
