5 papers
Unsupervised End-to-End Array Calibration for Multi-Target Integrated Sensing and Communication
José Miguel Mateos-Ramos, Baptiste Chatelier, Luc Le Magoarou +3
In this work, we consider end-to-end calibration of an integrated sensing and communication (ISAC) base station (BS) under gain-phase and antenna displacement impairments without c…
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…
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…
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…
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…