7 papers · 1 filter
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…
Clutter Suppression in Bistatic ISAC with Joint Angle and Doppler Estimation
M. Ertug Pihtili, Julia Equi, Ossi Kaltiokallio +4
The coexistence of radar and communications in wireless systems marks a paradigm shift for the sixth-generation (6G) networks. As 6G systems are expected to operate at higher frequ…
Meta-Learning Based Radio Frequency Fingerprinting for GNSS Spoofing Detection
Leatile Marata, Juhani Sankari, Eslam Eldeeb +2
The rapid development of technology has led to an increase in the number of devices that rely on position, velocity, and time (PVT) information to perform their functions. As such,…
Trends and Challenges in Next-Generation GNSS Interference Management
Leatile Marata, Mariona Jaramillo-Civill, Tales Imbiriba +4
The global navigation satellite system (GNSS) continues to evolve in order to meet the demands of emerging applications such as autonomous driving and smart environmental monitorin…
Failure Tolerant Phase-Only Indoor Positioning via Deep Learning
Fatih Ayten, Mehmet C. Ilter, Akshay Jain +5
High-precision localization turns into a crucial added value and asset for next-generation wireless systems. Carrier phase positioning (CPP) enables sub-meter to centimeter-level a…