13 citations · 21 across the 24 of their papers we have counts for
4 papers · 1 filter
POPT: Physics-Informed Deep Learning for Phase-Only Positioning in Distributed MIMO
Fatih Ayten, Ossi Kaltiokallio, Jukka Talvitie +6
This article develops a physics-informed deep learning framework for single-snapshot 3D phase-only positioning in narrowband phase-coherent distributed multiple-input multiple-outp…
Gaussian Process-Based Extended Object Estimation for 6G ISAC at Millimeter-Wave Frequencies
M. Ertug Pihtili, Ossi Kaltiokallio, Julia Equi +4
This paper introduces a Gaussian process (GP)-based method for extended object estimation (EOE) in integrated sensing and communication (ISAC) scenarios, representing a promising a…
Phase-Only Positioning in Distributed MIMO Under Phase Impairments: AP Selection Using Deep Learning
Fatih Ayten, Musa Furkan Keskin, Akshay Jain +5
Carrier phase positioning (CPP) can enable cm-level accuracy in next-generation wireless systems, while recent literature shows that accuracy remains high using phase-only measurem…
Multi-band Carrier Phase Positioning toward 6G: Performance Bounds and Efficient Estimators
Ehsan Shourezari, Ossi Kaltiokallio, Mehmet C. Ilter +4
In addition to satellite systems, carrier phase positioning (CPP) is gaining attraction also in terrestrial mobile networks, particularly in 5G New Radio evolution toward 6G. One k…