Feedback

Faculté des Sciences appliquées
Faculté des Sciences appliquées
MASTER THESIS
VIEW 53 | DOWNLOAD 2

Implementation of a LIDAR signal processing algorithm for high resolution measurements of wind fields

Download
Lessuise, Amélie ULiège
Promotor(s) : Béchet, Eric ULiège
Date of defense : 22-Jan-2021 • Permalink : http://hdl.handle.net/2268.2/11147
Details
Title : Implementation of a LIDAR signal processing algorithm for high resolution measurements of wind fields
Translated title : [fr] Implémentation d'un algorithme de traitement de signal LIDAR pour les mesures de champs de vent à hautes résolutions
Author : Lessuise, Amélie ULiège
Date of defense  : 22-Jan-2021
Advisor(s) : Béchet, Eric ULiège
Committee's member(s) : Andrianne, Thomas ULiège
Duysinx, Pierre ULiège
Michel, David 
Valla, Matthieu 
Language : English
Number of pages : 97
Keywords : [en] wind LIDAR
[en] Optimisation
[en] Signal processing
Discipline(s) : Engineering, computing & technology > Aerospace & aeronautics engineering
Research unit : Office National d'Etudes et de Recherches Aérospatiales
Institution(s) : Université de Liège, Liège, Belgique
Degree: Master en ingénieur civil en aérospatiale, à finalité spécialisée en "aerospace engineering"
Faculty: Master thesis of the Faculté des Sciences appliquées

Abstract

[en] High spatial resolution measures of wind fields are an important topic in LIDAR research in view of the impact they can have in different areas. A method for generating a spectrogram from the analysis of a LIDAR signal has been set up with the use of a new parsimonious description. Coupled with a minimisation algorithm, the method improves the spatial resolution of the radial velocity.

This new method is compared with a validation method using the covariance matrix of the simulated signal. This validation shows that a continuous method has a better accuracy than a discrete generation due to the approximations caused by the discretisation of the frequencies of the signal.

Using this new generation, an optimisation algorithm is used in order to fit those frequencies more precisely. The goal of this algorithm is to minimise a chi-square criterion based on the experimental spectrogram and the spectrogram generated at each iteration of the optimisation. The initial guess is given by a Gaussian fit of the experimental spectrogram. This algorithm greatly improves the spatial resolution, in a relatively short time. Possible improvements on the generation, the initialisation and the optimisation are also discussed in this thesis.


File(s)

Document(s)

File
Access Summary-Thesis-LessuiseAmelie.pdf
Description: Projet sous brevet
Size: 111.98 kB
Format: Adobe PDF
File
Access MasterThesis_LessuiseAmelie.pdf
Description: Projet sous brevet
Size: 4.74 MB
Format: Adobe PDF

Author

  • Lessuise, Amélie ULiège Université de Liège > Master ingé. civ. aérospat., à fin.

Promotor(s)

Committee's member(s)

  • Andrianne, Thomas ULiège Université de Liège - ULiège > Département d'aérospatiale et mécanique > Interactions Fluide-Structure - Aérodynamique expérimentale
    ORBi View his publications on ORBi
  • Duysinx, Pierre ULiège Université de Liège - ULiège > Département d'aérospatiale et mécanique > Ingénierie des véhicules terrestres
    ORBi View his publications on ORBi
  • Michel, David
  • Valla, Matthieu
  • Total number of views 53
  • Total number of downloads 2










All documents available on MatheO are protected by copyright and subject to the usual rules for fair use.
The University of Liège does not guarantee the scientific quality of these students' works or the accuracy of all the information they contain.