Development and assessment of a Wake Vortex characterization algorithm based on a hybrid LIDAR signal processing - CentraleSupélec Access content directly
Conference Papers Year : 2016

Development and assessment of a Wake Vortex characterization algorithm based on a hybrid LIDAR signal processing

Abstract

Since air traffic is in constant expansion, a more efficient optimisation of the airports capacity is expected. In this context, the characterization of aircraft hazardous turbulences known as wake vortices with an operational vortex Lidar is one of the major issues for the dynamic distances separation. A study has been probed to develop a hybrid vortex algorithm , i.e that uses both the velocity envelopes and a parametric estimator in the interest of processing time as short as possible. The aim is to make this algorithm exploitable for operational projects. That is why a methodology has been set up to evaluate its precision and its robustness. The results of tests on simulated scenarios of different aircraft vortices and different weather conditions show that this algorithm is able to localize precisely wake vortices and to estimate accurately their circulation in a short time.
Fichier principal
Vignette du fichier
Hallermeyer_AIAA2016_Manuscript.pdf (387.92 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-01377098 , version 1 (06-10-2016)

Identifiers

Cite

Alexandre Hallermeyer, Agnès Dolfi-Bouteyre, Matthieu Valla, Laurent Le Brusquet, Gilles Fleury, et al.. Development and assessment of a Wake Vortex characterization algorithm based on a hybrid LIDAR signal processing. 8th AIAA Atmospheric and Space Environments Conference, Jun 2016, Washington, United States. ⟨10.2514/6.2016-3272⟩. ⟨hal-01377098⟩
255 View
440 Download

Altmetric

Share

Gmail Facebook Twitter LinkedIn More