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International Journal of Antennas and Propagation
Volume 2016, Article ID 2706521, 8 pages
http://dx.doi.org/10.1155/2016/2706521
Research Article

Wind Speed Inversion in High Frequency Radar Based on Neural Network

1School of Electronic Information, Wuhan University, Wuhan 430072, China
2Institute of Marine and Coastal Sciences, Rutgers University, New Brunswick, NJ 08901, USA

Received 6 April 2016; Accepted 14 August 2016

Academic Editor: Khalid El-Darymli

Copyright © 2016 Yuming Zeng et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [3 citations]

The following is the list of published articles that have cited the current article.

  • Yukiharu Hisaki, “Sea Surface Wind Correction Using HF Ocean Radar and Its Impact on Coastal Wave Prediction,” Journal of Atmospheric and Oceanic Technology, vol. 34, no. 9, pp. 2001–2020, 2017. View at Publisher · View at Google Scholar
  • Wei Shen, and Klaus-Werner Gurgel, “Wind Direction Inversion from Narrow-Beam HF Radar Backscatter Signals in Low and High Wind Conditions at Different Radar Frequencies,” Remote Sensing, vol. 10, no. 9, pp. 1480, 2018. View at Publisher · View at Google Scholar
  • Murilo T. Silva, Eric W. Gill, and Weimin Huang, “An Improved Estimation and Gap-Filling Technique for Sea Surface Wind Speeds Using NARX Neural Networks,” Journal of Atmospheric and Oceanic Technology, vol. 35, no. 7, pp. 1521–1532, 2018. View at Publisher · View at Google Scholar