M
Marie-Laure Boucheret
Researcher at University of Toulouse
Publications - 46
Citations - 1269
Marie-Laure Boucheret is an academic researcher from University of Toulouse. The author has contributed to research in topics: GNSS applications & Decoding methods. The author has an hindex of 19, co-authored 46 publications receiving 1214 citations. Previous affiliations of Marie-Laure Boucheret include École Normale Supérieure & ENSEEIHT.
Papers
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Journal ArticleDOI
A time and frequency synchronization scheme for multiuser OFDM
J.-J. van de Beek,Per Ola Börjesson,Marie-Laure Boucheret,Daniel Landström,J.M. Arenas,Per Ödling,Christer Östberg,Matthias Wahlqvist,Sarah Kate Wilson +8 more
TL;DR: Performance results of an orthogonal frequency division multiplexing (OFDM)-based radio interface based on the universal mobile telecommunication system (UMTS) parameters are shown.
Journal ArticleDOI
Exact Symbol Error Probability of Hybrid/Integrated Satellite-Terrestrial Cooperative Network
TL;DR: Numerical results show that for a system using QPSK under the frequent heavy shadowed fading condition, the diversity gain can be obtained at the SEP of 10-1 with respect to the direct transmission, when only one relay is used.
Journal ArticleDOI
Improving satellite services with cooperative communications
TL;DR: The paper outlines the importance of the control part by evaluating the relay selection policy on a basic hybrid satellite/ad hoc system and proposes new transmission schemes for the delivery of satellite services.
BOC Power Spectrum Densities
Emilie Rebeyrol,Christophe Macabiau,Laurent Lestarquit,Lionel Ries,Jean-Luc Issler,Marie-Laure Boucheret,Michel Bousquet +6 more
TL;DR: In this paper, the authors present theoretical expressions of ALTBOC and constant envelope BOC power spectrum densities, and show that for these calculation assumptions to be met in that case of odd ratio BOC, it is equivalent to modifying the code sequence.
Journal ArticleDOI
Fast convolution filter banks for satellite payloads with on-board processing
TL;DR: This paper analyzes the method referred to as the fast convolution filter bank for regenerative payloads and shows that the resulting error can be modeled as a cyclostationary process, and an optimization method based on minimization of the associated mean-square error (MSE) is proposed.