370 research outputs found

    Chap. 6 Detector-Sensor Performance (II): Link Budget

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    2010/201

    Chap. 4. Elastic Lidar Systems

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    2005/200

    Chap. 5. Detector-sensor Performance (I)

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    2010/201

    Chap. 5A. Inversion Algorithms

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    2005/200

    Chap. 7. Raman Systems

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    2005/200

    Chap. 5. Lidar Link Budget

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    2005/200

    Chap. 7. Imaging Systems

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    2010/201

    Laboratorio de Software (I): Diagramas de RadiaciĂłn

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    2001/200

    On the performance of the unscented Kalman filter for floating Doppler wind lidar motion correction in an open-sea scenario

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    This work analyzes the influence of open-sea wave motion on the performance of the floating Doppler wind lidar motion-compensation method [1], recently published by the authors. The method is applied to a floating ZephIR 300 LiDAR and compared to a fixed LiDAR as a reference. The motion-correction results are studied as a function of the wave-motion intensity by clustering the IJmuiden experimental campaign into three categories: low, medium, and high motion.This research is part of the project PID2021-126436OB-C21 funded by Ministerio de Ciencia e Investigacion (MCIN)/ Agencia Estatal de Investigacion (AEI)/ 10.13039/501100011033 y FEDER “Una manera de hacer Europa”. The work of A. Salcedo-Bosch was supported under grant 2020 FISDU 00455 funded by Generalitat de Catalunya—AGAUR. The European Commission collaborated under projects H2020 ATMO-ACCESS (GA101008004) and H2020 ACTRIS-IMP (GA-871115).Peer ReviewedPostprint (author's final draft

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    2009-201
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