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A Novel Method for Ocean Wind Speed Detection Based on Energy Distribution of Beidou Reflections
The Global Navigation Satellite System Reflectometry (GNSS-R) technique exploits the characteristics of reflected GNSS signals to estimate the geophysical parameters of the earth’s surface. This paper focuses on investigating the wind speed retrieval method using ocean scattered signals from a Beido...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6630882/ https://www.ncbi.nlm.nih.gov/pubmed/31226854 http://dx.doi.org/10.3390/s19122779 |
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author | Wang, Qiang Zhu, Yunlong Kasantikul, Kittipong |
author_facet | Wang, Qiang Zhu, Yunlong Kasantikul, Kittipong |
author_sort | Wang, Qiang |
collection | PubMed |
description | The Global Navigation Satellite System Reflectometry (GNSS-R) technique exploits the characteristics of reflected GNSS signals to estimate the geophysical parameters of the earth’s surface. This paper focuses on investigating the wind speed retrieval method using ocean scattered signals from a Beidou Geostationary Earth Orbit (GEO) satellite. Two new observables are proposed by computing the ratio of the low energy zone and the high energy zone of the delay waveform. Coastal experimental raw data from a Beidou GEO satellite are processed to establish the relationship between the energy-related observables and the sea surface wind. When the delay waveform normalized amplitude (this will be referred to as “threshold” in what follows) is 0.3, fitting results show that the coefficient of determination is more than 0.76 in the gentle wind scenario (<10 m/s), with a root mean square error (RMSE) of less than 1.0 m/s. In the Typhoon UTOR scenario (12.7 m/s~37.3 m/s), the correlation level exceeds 0.82 when the threshold is 0.25, with a RMSE of less than 3.10 m/s. Finally, the impact of the threshold and coherent integration time on wind speed retrieval is discussed to obtain an optimal result. When the coherent integration time is 50 milliseconds and the threshold is 0.15, the best wind speed retrieval error of 2.63 m/s and a correlation level of 0.871 are obtained in the UTOR scenario. |
format | Online Article Text |
id | pubmed-6630882 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-66308822019-08-19 A Novel Method for Ocean Wind Speed Detection Based on Energy Distribution of Beidou Reflections Wang, Qiang Zhu, Yunlong Kasantikul, Kittipong Sensors (Basel) Article The Global Navigation Satellite System Reflectometry (GNSS-R) technique exploits the characteristics of reflected GNSS signals to estimate the geophysical parameters of the earth’s surface. This paper focuses on investigating the wind speed retrieval method using ocean scattered signals from a Beidou Geostationary Earth Orbit (GEO) satellite. Two new observables are proposed by computing the ratio of the low energy zone and the high energy zone of the delay waveform. Coastal experimental raw data from a Beidou GEO satellite are processed to establish the relationship between the energy-related observables and the sea surface wind. When the delay waveform normalized amplitude (this will be referred to as “threshold” in what follows) is 0.3, fitting results show that the coefficient of determination is more than 0.76 in the gentle wind scenario (<10 m/s), with a root mean square error (RMSE) of less than 1.0 m/s. In the Typhoon UTOR scenario (12.7 m/s~37.3 m/s), the correlation level exceeds 0.82 when the threshold is 0.25, with a RMSE of less than 3.10 m/s. Finally, the impact of the threshold and coherent integration time on wind speed retrieval is discussed to obtain an optimal result. When the coherent integration time is 50 milliseconds and the threshold is 0.15, the best wind speed retrieval error of 2.63 m/s and a correlation level of 0.871 are obtained in the UTOR scenario. MDPI 2019-06-20 /pmc/articles/PMC6630882/ /pubmed/31226854 http://dx.doi.org/10.3390/s19122779 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Wang, Qiang Zhu, Yunlong Kasantikul, Kittipong A Novel Method for Ocean Wind Speed Detection Based on Energy Distribution of Beidou Reflections |
title | A Novel Method for Ocean Wind Speed Detection Based on Energy Distribution of Beidou Reflections |
title_full | A Novel Method for Ocean Wind Speed Detection Based on Energy Distribution of Beidou Reflections |
title_fullStr | A Novel Method for Ocean Wind Speed Detection Based on Energy Distribution of Beidou Reflections |
title_full_unstemmed | A Novel Method for Ocean Wind Speed Detection Based on Energy Distribution of Beidou Reflections |
title_short | A Novel Method for Ocean Wind Speed Detection Based on Energy Distribution of Beidou Reflections |
title_sort | novel method for ocean wind speed detection based on energy distribution of beidou reflections |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6630882/ https://www.ncbi.nlm.nih.gov/pubmed/31226854 http://dx.doi.org/10.3390/s19122779 |
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