143 citations · 170 across the 28 of their papers we have counts for
32 papers
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…
Ambient IoT Backscatter Devices as Passive Anchors for NLOS Cellular Positioning: Fundamental Limits
Hüseyin Yiğitler, Musa Furkan Keskin, Ossi Kaltiokallio +1
Ambient Internet-of-Things backscatter devices at known locations can act as low-cost passive anchors by creating geometrically anchored reflected paths in cellular networks. Unlik…
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…
Exploiting Double-Bounce Paths in Snapshot Radio SLAM: Bounds, Algorithms and Experiments
Xi Zhang, Yu Ge, Ossi Kaltiokallio +3
Radio-based simultaneous localization and mapping (SLAM) has the potential to provide precise user equipment (UE) localization and environmental sensing capabilities by exploiting…
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…