2016
DOI: 10.1117/1.oe.56.3.031217
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Long-range wind monitoring in real time with optimized coherent lidar

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Cited by 22 publications
(9 citation statements)
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“…Both estimators had similar performance and the latter was chosen because of computational efficiency. In addition, Dolfi-Bouteyre et al (2016) examined two simple methods (maximum and centroid), the previously mentioned ML approach, polynomial fitting and an adaptive filter method. The polynomial fitting method was found to perform best in laminar flow but it is suggested that in more complex flow, advanced estimators are needed.…”
Section: Introductionmentioning
confidence: 99%
“…Both estimators had similar performance and the latter was chosen because of computational efficiency. In addition, Dolfi-Bouteyre et al (2016) examined two simple methods (maximum and centroid), the previously mentioned ML approach, polynomial fitting and an adaptive filter method. The polynomial fitting method was found to perform best in laminar flow but it is suggested that in more complex flow, advanced estimators are needed.…”
Section: Introductionmentioning
confidence: 99%
“…La nouvelle réglementation européenne RECAT-EU a par exemple été déployée à l'aéroport Paris-Charles de Gaulle en 2016 grâce à des mesures du Lidar WINDCUBE200S. Les défis actuels et futurs pour des Lidars fibrés dans l'aéronautique sont la réalisation de mesures embarquées sur l'avion en configuration transverse ou axiale [5] ou encore la fourniture de cartographie 3D et rapide de vents et de turbulences à longue distance (>10 km) autour des sites aéroportuaires [7][8] afin de pouvoir anticiper les trajectoires des tourbillons de sillage et prévoir leurs durées de vie.…”
Section: Resultsunclassified
“…where f IF is the frequency of the laser pulses] [34]. The carrier-to-noise ratio (CNR) is determined integrating the power spectral density over frequencies and dividing it by the integration over frequencies of the power spectral density of the noise [32].…”
Section: Air Flow Velocity Measurementmentioning
confidence: 99%