A Novel Wind Speed Estimation Based on the Integration of an Artificial Neural Network and a Particle Filter Using BeiDou GEO Reflectometry

A Novel Wind Speed Estimation Based on the Integration of an Artificial Neural Network and a Particle Filter Using BeiDou GEO Reflectometry

Oceanographic remote sensing, which is based on the sensitivity of reflected signals from the Global Navigation Satellite Systems (GNSS), so-called GNSS-Reflectometry (GNSS-R), is very useful for the observation of ocean wind speed. Wind speed estimation over the ocean is the core factor in maritime...

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Bibliographic Details
Main Authors: Kittipong Kasantikul, Dongkai Yang, Qiang Wang, Aung Lwin
Format: Article
Language:English
Published: MDPI AG 2018-10-01
Series:Sensors
Subjects:
wind speed estimation
GNSS-reflectometry
artificial neural network
particle swarm optimization
particle filter
BeiDou GEO satellite
Online Access:http://www.mdpi.com/1424-8220/18/10/3350

Internet

http://www.mdpi.com/1424-8220/18/10/3350

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