On Adaptive Unscented Kalman Filtering for Floating Doppler Wind-Lidar Motion Correction: Effect of the Number of Lidar Measurement Heights
Author:
Affiliation:
1. Universitat Politècnica de Catalunya (UPC),CommSensLab-UPC,Department of Signal Theory and Communications (TSC)
2. Universitat Politècnica de Catalunya,Laboratori d'Enginyeria Maritima,Barcelona,Spain,E-08034
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9883023/9883024/09884115.pdf?arnumber=9884115
Reference8 articles.
1. Floating Doppler Wind Lidar Measurement of Wind Turbulence: A Cluster Analysis
2. Doppler Lidar–Based Wind-Profile Measurement System for Offshore Wind-Energy and Other Marine Boundary Layer Applications
3. Estimation of the Motion-Induced Horizontal-Wind-Speed Standard Deviation in an Offshore Doppler Lidar
4. A Robust Adaptive Unscented Kalman Filter for Floating Doppler Wind-LiDAR Motion Correction
5. Estimating Turbulence Statistics and Parameters from Lidar Measurements;sathe;Remote Sensing Summer School Number 0085 in DTU Wind Energy E DTU Wind Energy,2015
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Analytical-Model Compensation of the Motion-Induced Turbulence in Floating Doppler-Wind Lidar Measurements;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07
2. On the Performance of the Unscented Kalman Filter for Floating Doppler Wind Lidar Motion Correction in an Open-Sea Scenario;IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium;2023-07-16
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