From the 2 of 5 linked papers with an AI index.
5 papers
Real-time Pre-Correlation GNSS Interference Classification with Lightweight Learned Algorithms
Burak Soner, Can Aksoy, Erkin Halaçlı
The paper proposes lightweight, data‑driven algorithms for real‑time classification of GNSS radio‑frequency interference before signal correlation, using compact features from an a…
Improved Frequency Tracking with Adaptive Moments for Narrowband Interference Mitigation in GNSS
Burak Soner, Abdulkadir Uzun, Ekin Uzun
The paper introduces an Adam‑inspired adaptive‑moment frequency tracking algorithm for narrowband interference mitigation in GNSS receivers, offering a better trade‑off between tra…
A Lightweight Method for Multiple Signal Direction Estimation with Adaptive Notch Filters
Burak Soner
For multi-signal detection and direction-of-arrival (DoA) estimation, conventional Capon beamforming degrades when there are more transmitters than receive antennas minus one. This…
Low-Cost GNSS Anti-Jamming Through 2-Bit Phase Shift Beamforming with Machine Learning
Burak Soner, Ekin Uzun, Can Aksoy
We investigate low-cost GNSS anti-jamming using beamforming with inexpensive 2-bit phase shifters, constraining each complex array weight to one of four QPSK phase states (real/ima…
Scalable Wi-Fi RSS-Based Indoor Localization via Automatic Vision-Assisted Calibration
Abdulkadir Bilge, Erdem Ergen, Burak Soner +1
Wi-Fi-based positioning promises a scalable and privacy-preserving solution for location-based services in indoor environments such as malls, airports, and campuses. RSS-based meth…