17 citations · 78 across the 17 of their papers we have counts for
16 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…
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…
Phase-Only Positioning: Overcoming Integer Ambiguity Challenge through Deep Learning
Fatih Ayten, Mehmet C. Ilter, Ossi Kaltiokallio +5
This paper investigates uplink carrier phase positioning (CPP) in cell-free (CF) or distributed antenna system context, assuming a challenging case where only phase measurements ar…
A Collaborative Approach Using Neural Networks for BLE-RSS Lateration-Based Indoor Positioning
Pavel Pascacio, Joaquín Torres-Sospedra, Sven Casteleyn +1
In daily life, mobile and wearable devices with high computing power, together with anchors deployed in indoor environments, form a common solution for the increasing demands for i…
Data Cleansing for Indoor Positioning Wi-Fi Fingerprinting Datasets
Darwin Quezada-Gaibor, Lucie Klus, Joaquín Torres-Sospedra +4
Wearable and IoT devices requiring positioning and localisation services grow in number exponentially every year. This rapid growth also produces millions of data entries that need…
Towards Accelerated Localization Performance Across Indoor Positioning Datasets
Lucie Klus, Darwin Quezada-Gaibor, Joaquın Torres-Sospedra +3
The localization speed and accuracy in the indoor scenario can greatly impact the Quality of Experience of the user. While many individual machine learning models can achieve compa…
Improved Sensing and Positioning via 5G and mmWave radar for Airport Surveillance
Bo Tan, Elena Simona Lohan, Bo Sun +8
This paper explores an integrated approach for improved sensing and positioning with applications in air traffic management (ATM) and in the Advanced Surface Movement Guidance and…
Converging Radar and Communications in the Superposition Transmission
Wenbo Wang, Bo Tan, Elena Simona Lohan +1
This paper proposes a superposition transmission scheme for the future Radio Frequency (RF) convergence applications. The scheme is discussed under the assumption of a mono-static…
High-Accuracy Ranging and Localization with Ultra-Wideband Communications for Energy-Constrained Devices
L. Flueratoru, S. Wehrli, M. Magno +2
Ultra-wideband (UWB) communications have gained popularity in recent years for being able to provide distance measurements and localization with high accuracy, which can enhance th…
Joint Positioning and Tracking via NR Sidelink in 5G-Empowered Industrial IoT: Releasing the Potential of V2X Technology
Yi Lu, Mike Koivisto, Jukka Talvitie +4
The fifth generation (5G) mobile networks with enhanced connectivity and positioning capabilities play an increasingly important role in the development of automated vehicle-to-eve…
Benefits of Positioning-Aided Communication Technology in High-Frequency Industrial IoT
Mike Koivisto, Olga Galinina, Sergey Andreev +6
The future of industrial applications is shaped by intelligent moving IoT devices, such as flying drones, advanced factory robots, and connected vehicles, which may operate (semi-)…