Wind turbine clutter observations and theoretical validation for meteorological radar applications-Reference-Cited by-同舟云学术

Wind turbine clutter observations and theoretical validation for meteorological radar applications

Published:2011 Issue:2 Volume:5 Page:111
ISSN:1751-8784
Container-title:IET Radar, Sonar & Navigation
language:en
Short-container-title:IET Radar Sonar Navig.

Author:

Gallardo-Hernando B.,Muñoz-Ferreras J.M.,Pérez-Martínez F.,Aguado-Encabo F.

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering

Link

https://digital-library.theiet.org/content/journals/10.1049/iet-rsn.2009.0296?crawler=true&mimetype=application/pdf

Reference9 articles.

1. World Wind Energy Association: ‘World wind energy report 2008’. Available at: http://www.wwindea.org/home/images/stories/worldwindenergyreport2008_s.pdf, accessed November 2009

2. To Capture the Wind

3. ‘Wind farms impact on radar aviation interests’, 2003

Cited by 26 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. Wind Turbines Structural Health Monitoring Using a FMCW Radar Mounted on a Drone;2024 IEEE Topical Conference on Wireless Sensors and Sensor Networks (WiSNeT);2024-01-21

2. On the polarimetric backscatter by a still or quasi-still wind turbine;Atmospheric Measurement Techniques;2023-10-09

3. Improved Extreme Learning Machine Method for Wind Turbine Clutter Mitigation;2021 IEEE 16th Conference on Industrial Electronics and Applications (ICIEA);2021-08-01

4. Insights into wind turbine reflectivity and radar cross-section (RCS) and their variability using X-band weather radar observations;Atmospheric Measurement Techniques;2021-05-18

5. Wind Turbine Clutter Mitigation for Weather Radar by Extreme Learning Machine (ELM) Method;Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;2020