Author(s)
Term
4. semester
Education
Publication year
2025
Submitted on
2025-06-04
Pages
83 pages
Abstract
This master’s thesis develops a flexible, reprogrammable testbed for emulating a satellite communication system, including a ground station, satellite transponder, and interference source. The platform that is presented enables automated measurement campaigns to collect high-quality data for AI-based interference mitigation. The thesis also includes system validation across QPSK, BPSK, and 8PSK modulation schemes, which has an error vector magnitude of 0.22% ±0.005% and modulation error rate up to 51.87%, which indicates and confirms an excellent signal integrity in both low and highly increased interference settings. Furthermore, a U-Net implementation separates the interference from real-time raw (no preprocessing) mixed IQ signals. The U-Net is trained on extensive, large real-world data sets of over 200,000 data samples per gain and frequency settings. The U-Net achieved near reference level denoised signal, reflecting correlation values over 98% for QPSK and BPSK 96% and up to 98.45% for 8PSK, even at the highest interference levels. The results demonstrate robust interference suppression, high reconstruction fidelity, and strong generalization capability. The validated automated testbed and U-Net architecture successfully fulfill the thesis objective of enabling real-time AI-driven signal separation of complex interference in satellite communication links.
Keywords
Satellite Communication ; Complex Interference ; Signal Separation ; Real-Time AI ; Real-Time AI-Driven Data ; Interference mitigation ; Testbed ; U-Net architecture ; Complex interference ; Satellite communication links ; Emulating satellite communication system ; Reprogrammable testbed ; Interference source ; AI-based interference mitigation
Documents
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