output
20232025

6 papers

eess.SP2025

Model-based Implicit Neural Representation for sub-wavelength Radio Localization

Baptiste Chatelier, Vincent Corlay, Musa Furkan Keskin +3

The increasing deployment of large antenna arrays at base stations has significantly improved the spatial resolution and localization accuracy of radio-localization methods. Howeve…

cs.IT2024

CSI Compression using Channel Charting

Baptiste Chatelier, Vincent Corlay, Matthieu Crussière +1

Reaping the benefits of multi-antenna communication systems in frequency division duplex (FDD) requires channel state information (CSI) reporting from mobile users to the base stat…

eess.SP2024

Physically Parameterized Differentiable MUSIC for DoA Estimation with Uncalibrated Arrays

Baptiste Chatelier, José Miguel Mateos-Ramos, Vincent Corlay +4

Direction of arrival (DoA) estimation is a common sensing problem in radar, sonar, audio, and wireless communication systems. It has gained renewed importance with the advent of th…

cs.AI2024

Requirement-Based Testing: Enhancing Reinforcement Learning with Game Theory

Ocan Sankur, Thierry Jéron, Nicolas Markey +2

We consider the automatic online synthesis of black-box test cases from functional requirements specified as automata for reactive implementations. The goal of the tester is to rea…

cs.IT2024

Model-based learning for multi-antenna multi-frequency location-to-channel mapping

Baptiste Chatelier, Vincent Corlay, Matthieu Crussière +1

Years of study of the propagation channel showed a close relation between a location and the associated communication channel response. The use of a neural network to learn the loc…

cs.AI2023

Model-based learning for location-to-channel mapping

Baptiste Chatelier, Luc Le Magoarou, Vincent Corlay +1

Modern communication systems rely on accurate channel estimation to achieve efficient and reliable transmission of information. As the communication channel response is highly rela…