The Impacts of Deformed Fabry–Perot Interferometer Transmission Spectrum on Wind Lidar Measurements

The Fabry–Perot interferometer (FPI) plays a crucial role as the frequency discriminator in the incoherent Doppler wind lidar. However, in the practical receiver system, reflections occurring between optical elements introduce non-normal incident components in the light beams passing through the FPI...

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Main Authors: Ming Zhao, Jianfeng Chen, Chenbo Xie, Lu Li
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Remote Sensing
Subjects:
Online Access:https://www.mdpi.com/2072-4292/16/6/1076
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author Ming Zhao
Jianfeng Chen
Chenbo Xie
Lu Li
author_facet Ming Zhao
Jianfeng Chen
Chenbo Xie
Lu Li
author_sort Ming Zhao
collection DOAJ
description The Fabry–Perot interferometer (FPI) plays a crucial role as the frequency discriminator in the incoherent Doppler wind lidar. However, in the practical receiver system, reflections occurring between optical elements introduce non-normal incident components in the light beams passing through the FPI. This phenomenon results in the deformation of the FPI transmission spectral lines. Based on that, a theoretical model has been developed to describe the transmission spectrum of the FPI when subjected to obliquely incident light beams with a divergence angle. By appropriately adjusting the model parameters, the simulated transmission spectrum of the FPI edge channels can coincide with the experimentally measured FPI spectral line. Subsequently, the impact of deformations in the transmission spectrum of the two edge channels on wind measurements is evaluated. The first implication is a systematic shift of 30.7 m/s in line-of-sight (LOS) wind velocities. This shift is based on the assumption that the lidar echo is solely backscattered from atmospheric molecules. The second consequence is the inconsistency in the response sensitivities of Doppler frequency shift between Rayleigh signals and Mie signals. As a result, the lidar system fails to fully achieve its initial design objectives, particularly in effectively suppressing interference from Mie signals. The presence of aerosols can introduce a significant error of several meters per second in the measurement of LOS wind velocity.
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spelling doaj.art-c63f78ce3a7c447599adffd77c2f13fe2024-03-27T14:02:48ZengMDPI AGRemote Sensing2072-42922024-03-01166107610.3390/rs16061076The Impacts of Deformed Fabry–Perot Interferometer Transmission Spectrum on Wind Lidar MeasurementsMing Zhao0Jianfeng Chen1Chenbo Xie2Lu Li3School of Electronic Engineering, Huainan Normal University, Huainan 232038, ChinaKey Laboratory of Atmospheric Optics, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei 230031, ChinaKey Laboratory of Atmospheric Optics, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei 230031, ChinaScience Island Branch, University of Science and Technology of China, Hefei 230026, ChinaThe Fabry–Perot interferometer (FPI) plays a crucial role as the frequency discriminator in the incoherent Doppler wind lidar. However, in the practical receiver system, reflections occurring between optical elements introduce non-normal incident components in the light beams passing through the FPI. This phenomenon results in the deformation of the FPI transmission spectral lines. Based on that, a theoretical model has been developed to describe the transmission spectrum of the FPI when subjected to obliquely incident light beams with a divergence angle. By appropriately adjusting the model parameters, the simulated transmission spectrum of the FPI edge channels can coincide with the experimentally measured FPI spectral line. Subsequently, the impact of deformations in the transmission spectrum of the two edge channels on wind measurements is evaluated. The first implication is a systematic shift of 30.7 m/s in line-of-sight (LOS) wind velocities. This shift is based on the assumption that the lidar echo is solely backscattered from atmospheric molecules. The second consequence is the inconsistency in the response sensitivities of Doppler frequency shift between Rayleigh signals and Mie signals. As a result, the lidar system fails to fully achieve its initial design objectives, particularly in effectively suppressing interference from Mie signals. The presence of aerosols can introduce a significant error of several meters per second in the measurement of LOS wind velocity.https://www.mdpi.com/2072-4292/16/6/1076Fabry–Perot interferometerDoppler wind lidardeformed transmission spectrum
spellingShingle Ming Zhao
Jianfeng Chen
Chenbo Xie
Lu Li
The Impacts of Deformed Fabry–Perot Interferometer Transmission Spectrum on Wind Lidar Measurements
Remote Sensing
Fabry–Perot interferometer
Doppler wind lidar
deformed transmission spectrum
title The Impacts of Deformed Fabry–Perot Interferometer Transmission Spectrum on Wind Lidar Measurements
title_full The Impacts of Deformed Fabry–Perot Interferometer Transmission Spectrum on Wind Lidar Measurements
title_fullStr The Impacts of Deformed Fabry–Perot Interferometer Transmission Spectrum on Wind Lidar Measurements
title_full_unstemmed The Impacts of Deformed Fabry–Perot Interferometer Transmission Spectrum on Wind Lidar Measurements
title_short The Impacts of Deformed Fabry–Perot Interferometer Transmission Spectrum on Wind Lidar Measurements
title_sort impacts of deformed fabry perot interferometer transmission spectrum on wind lidar measurements
topic Fabry–Perot interferometer
Doppler wind lidar
deformed transmission spectrum
url https://www.mdpi.com/2072-4292/16/6/1076
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