11 citations · 11 across the 7 of their papers we have counts for
6 papers · 1 filter
Keep the phase! Signal recovery in phase-only compressive sensing
Laurent Jacques, Thomas Feuillen
We demonstrate that a sparse signal can be estimated from the phase of complex random measurements, in a "phase-only compressive sensing" (PO-CS) scenario. With high probability an…
Going Below and Beyond, Off-the-Grid Velocity Estimation from 1-bit Radar Measurements
Gilles Monnoyer de Galland, Thomas Feuillen, Luc Vandendorpe +1
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 c…
One Bit to Rule Them All : Binarizing the Reconstruction in 1-bit Compressive Sensing
Thomas Feuillen, Mike Davies, Luc Vandendorpe +1
This work focuses on the reconstruction of sparse signals from their 1-bit measurements. The context is the one of 1-bit compressive sensing where the measurements amount to quanti…
The importance of phase in complex compressive sensing
Laurent Jacques, Thomas Feuillen
We consider the question of estimating a real low-complexity signal (such as a sparse vector or a low-rank matrix) from the phase of complex random measurements. We show that in th…
An Ultra-wideband Battery-less Positioning System for Space Applications
Davide Dardari, Nicolò Decarli, Davide Fabbri +10
An ultra-wide bandwidth (UWB) remote-powered positioning system for potential use in tracking floating objects inside space stations is presented. It makes use of battery-less tags…
Sparsity-Driven Moving Target Detection in Distributed Multistatic FMCW Radars
Gilles Monnoyer de Galland, Thomas Feuillen, Laurent Jacques +1
We investigate the problem of sparse target detection from widely distributed multistatic \textit{Frequency Modulated Continuous Wave} (FMCW) radar systems (using chirp modulation)…