no code implementations • 10 Apr 2024 • Guillaume Thiran, François De Saint Moulin, Claude Oestges, Luc Vandendorpe
In this paper, performance bounds for the multi-antenna near-field range estimation of extended targets are provided.
no code implementations • 14 Mar 2024 • François De Saint Moulin, Guillaume Thiran, Christophe Craeye, Luc Vandendorpe, Claude Oestges
This model is applied to an automotive scenario, in which a linear antenna array is spread out at the front of a vehicle, and performs a radar measurement of the distance to the back of the vehicle ahead.
no code implementations • 22 Feb 2024 • Martin Willame, Charles Wiame, Jérôme Louveaux, Claude Oestges, Luc Vandendorpe
Our numerical results finally analyze the impact of the sleep control on the performance and display the optimal strategies in terms of energy efficiency.
no code implementations • 31 Jul 2023 • Gilles Monnoyer, Thomas Feuillen, Maxime Drouguet, Laurent Jacques, Luc Vandendorpe
Our grid hopping approach, which relies on interpolation strategies, offers a reduced computation time while its performance stays on par with the direct method.
no code implementations • 17 May 2023 • François De Saint Moulin, Christophe Craeye, Luc Vandendorpe, Claude Oestges
In order to evaluate the performance of radar and communication systems in future wireless networks, accurate propagation models are needed to predict efficiently the received powers at each node, and draw correct conclusions.
no code implementations • 26 Jan 2023 • Charles Wiame, Simon Demey, Luc Vandendorpe, Philippe De Doncker, Claude Oestges
Using this framework, a number of performance metrics are derived: first moments, marginal distributions and joint distributions of the data rate and exposure.
no code implementations • 26 Aug 2022 • François De Saint Moulin, Charles Wiame, Luc Vandendorpe, Claude Oestges
Then, the model is extended to include interference cancellation for the radar and/or communication function in all the metrics.
no code implementations • 9 Feb 2021 • Gilles Monnoyer de Galland, Thomas Feuillen, Luc Vandendorpe, Laurent Jacques
This algorithm extends existing continuous greedy algorithms to the framework of factorized sparse representations of the signals.
no code implementations • 14 Dec 2020 • Guillaume Thiran, Ivan Stupia, Luc Vandendorpe
Considering each transmitter-receiver pair as a selfish player, conditions on the existence and uniqueness of the Nash equilibrium of the underlying noncooperative game are obtained.
no code implementations • 10 Nov 2020 • Gilles Monnoyer de Galland, Thomas Feuillen, Luc Vandendorpe, Laurent Jacques
In this paper we propose to bridge the gap between using extremely low resolution 1-bit measurements and estimating targets' parameters, such as their velocities, that exist in a continuum, i. e., by performing Off-the-Grid estimation.
no code implementations • 13 Oct 2020 • Francois De Saint Moulin, Charles Wiame, Claude Oestges, Luc Vandendorpe
We consider a relay network based on Unmanned Aerial Vehicles (UAV).
no code implementations • 17 Aug 2020 • Thomas Feuillen, Mike Davies, Luc Vandendorpe, Laurent Jacques
This work focuses on the reconstruction of sparse signals from their 1-bit measurements.
no code implementations • 2 Jul 2020 • Gilles Monnoyer de Galland, Luc Vandendorpe, Laurent Jacques
We propose a fast greedy algorithm to compute sparse representations of signals from continuous dictionaries that are factorizable, i. e., with atoms that can be separated as a product of sub-atoms.
no code implementations • 24 Jun 2020 • Zijian Wang, Mylene Pischella, Luc Vandendorpe
This paper considers uplink multiple access (MA) transmissions, where the MA technique is adaptively selected between Non Orthogonal Multiple Access (NOMA) and Orthogonal Multiple Access (OMA).
no code implementations • 31 Mar 2020 • Antoine Paris, Hamed Mirghasemi, Ivan Stupia, Luc Vandendorpe
The computing load is optimally distributed among the edge-devices, taking into account their diversity in term of computing and communications capabilities.
1 code implementation • 6 Mar 2019 • Antoine Paris, Hamed Mirghasemi, Ivan Stupia, Luc Vandendorpe
In this work, a heterogeneous set of wireless devices sharing a common access point collaborates to perform a set of tasks.