| Issue |
EPJ Web Conf.
Volume 362, 2026
31st International Laser Radar Conference (ILRC 31) Held Together with the 22nd Coherent Laser Radar Conference (CLRC 22)
|
|
|---|---|---|
| Article Number | 11008 | |
| Number of page(s) | 4 | |
| Section | Joint CLRC/ILRC Session: Airborne and Spaceborne Wind Lidar Missions (Aeolus etc.) | |
| DOI | https://doi.org/10.1051/epjconf/202636211008 | |
| Published online | 09 April 2026 | |
https://doi.org/10.1051/epjconf/202636211008
Verification of different peak centroid analysis algorithms based on airborne wind lidar data in support of ESA's Aeolus mission
(a) Deutsches Zentrum für Luft- und Raumfahrt e.V. (DLR), Institute of Atmospheric Physics, Oberpfaffenhofen, Germany
(b) Optical & Lidar Associates (OLA), Buckinghamshire, HP14 3PF, UK
(c) University of Applied Sciences Munich, Munich, Germany This email address is being protected from spambots. You need JavaScript enabled to view it.
Published online: 9 April 2026
Abstract
The Aeolus mission by ESA was operational from August 2018 to July 2023. Aeolus carried the direct-detection Atmospheric LAser Doppler INstrument (ALADIN). To support Aeolus, the ALADIN Airborne Demonstrator (A2D) was developed. Both ALADIN and A2D consist of so-called Rayleigh and Mie channels to measure wind from molecular and particulate backscatter signals, respectively. The Mie channel relies on determining the spatial location of a fringe being imaged on the detector. The accuracy of the retrieved winds depends on the analytic algorithm used for determining the fringe location. In this paper, the performance of two non-linear fit-based algorithms is investigated by applying them to airborne A2D data. For performance validation, the data of a heterodyne-detection wind lidar are used as a reference. In addition, a fast and non-fit-based algorithm relying on a four-pixel intensity ratio approach (R4) has been developed and yielded similar accuracy, but at a much faster computation time.
© The Authors, published by EDP Sciences, 2026
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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