Title: Analysis of Spoofing Detection Algorithms on TEXBAT and OAKBAT Data
Presenter: Nadir Khan, Tampere University, Finland.
Abstract: This master's degree thesis work investigates machine learning methods for GNSS spoofing detection under the in-domain and cross-domain generalization approaches. The framework leverages publicly available TEXBAT and OAKBAT datasets. Results show high classification accuracy in in-domain evaluations, while performance decreases considerably under cross-domain conditions. The findings highlight the challenges of developing spoofing detection algorithms that generalize reliably across different GNSS datasets and interference scenarios.
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