Optimization of Airborne Antenna Geometry for Ocean Surface Scatterometric Measurements

We consider different antenna configurations, ranging from simple X-configuration to multi-beam star geometries, for airborne scatterometric measurements of the wind vector near the ocean surface. For all geometries, track-stabilized antenna configurations, as well as horizontal transmitter and rece...

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Main Authors: Alexey Nekrasov, Alena Khachaturian, Evgeny Abramov, Dmitry Popov, Oleg Markelov, Viktor Obukhovets, Vladimir Veremyev, Mikhail Bogachev
Format: Article
Language:English
Published: MDPI AG 2018-09-01
Series:Remote Sensing
Subjects:
Online Access:http://www.mdpi.com/2072-4292/10/10/1501
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spelling doaj-28b26fdf6aaa469a93629bb54e0504292020-11-24T22:10:55ZengMDPI AGRemote Sensing2072-42922018-09-011010150110.3390/rs10101501rs10101501Optimization of Airborne Antenna Geometry for Ocean Surface Scatterometric MeasurementsAlexey Nekrasov0Alena Khachaturian1Evgeny Abramov2Dmitry Popov3Oleg Markelov4Viktor Obukhovets5Vladimir Veremyev6Mikhail Bogachev7Department of Radio Engineering Systems and Scientific-Research Institute “Prognoz”, Saint Petersburg Electrotechnical University, Professora Popova 5, 197376 Saint Petersburg, RussiaDepartment of Radio Engineering Systems and Scientific-Research Institute “Prognoz”, Saint Petersburg Electrotechnical University, Professora Popova 5, 197376 Saint Petersburg, RussiaDepartment of Radio Engineering Systems and Scientific-Research Institute “Prognoz”, Saint Petersburg Electrotechnical University, Professora Popova 5, 197376 Saint Petersburg, RussiaSochi State University, Sovetskaya 26a, 354000 Sochi, RussiaDepartment of Radio Engineering Systems and Scientific-Research Institute “Prognoz”, Saint Petersburg Electrotechnical University, Professora Popova 5, 197376 Saint Petersburg, RussiaDepartment of Radio Engineering Systems and Scientific-Research Institute “Prognoz”, Saint Petersburg Electrotechnical University, Professora Popova 5, 197376 Saint Petersburg, RussiaDepartment of Radio Engineering Systems and Scientific-Research Institute “Prognoz”, Saint Petersburg Electrotechnical University, Professora Popova 5, 197376 Saint Petersburg, RussiaDepartment of Radio Engineering Systems and Scientific-Research Institute “Prognoz”, Saint Petersburg Electrotechnical University, Professora Popova 5, 197376 Saint Petersburg, RussiaWe consider different antenna configurations, ranging from simple X-configuration to multi-beam star geometries, for airborne scatterometric measurements of the wind vector near the ocean surface. For all geometries, track-stabilized antenna configurations, as well as horizontal transmitter and receiver polarizations, are considered. The wind vector retrieval algorithm is generalized here for an arbitrary star geometry antenna configuration and tested using the Ku-Band geophysical model function. Using Monte Carlo simulations for the fixed total measurement time, we show explicitly that the relative wind speed estimation accuracy barely depends on the chosen antenna geometry, while the maximum wind direction retrieval error reduces moderately with increasing angular resolution, although at the cost of increased retrieval algorithm computational complexity, thus, limiting online analysis options with onboard equipment. Remarkably, the simplest X-configuration, while the simplest in terms of hardware implementation and computational time, appears an outlier, yielding considerably higher maximum retrieval errors when compared to all other configurations. We believe that our results are useful for the optimization of both hardware and software design for modern airborne scatterometric measurement systems based on tunable antenna arrays especially, those requiring online data processing.http://www.mdpi.com/2072-4292/10/10/1501airborne scatterometermulti-beam antenna configurationstar geometryocean surfacewind vectorretrieval accuracy
collection DOAJ
language English
format Article
sources DOAJ
author Alexey Nekrasov
Alena Khachaturian
Evgeny Abramov
Dmitry Popov
Oleg Markelov
Viktor Obukhovets
Vladimir Veremyev
Mikhail Bogachev
spellingShingle Alexey Nekrasov
Alena Khachaturian
Evgeny Abramov
Dmitry Popov
Oleg Markelov
Viktor Obukhovets
Vladimir Veremyev
Mikhail Bogachev
Optimization of Airborne Antenna Geometry for Ocean Surface Scatterometric Measurements
Remote Sensing
airborne scatterometer
multi-beam antenna configuration
star geometry
ocean surface
wind vector
retrieval accuracy
author_facet Alexey Nekrasov
Alena Khachaturian
Evgeny Abramov
Dmitry Popov
Oleg Markelov
Viktor Obukhovets
Vladimir Veremyev
Mikhail Bogachev
author_sort Alexey Nekrasov
title Optimization of Airborne Antenna Geometry for Ocean Surface Scatterometric Measurements
title_short Optimization of Airborne Antenna Geometry for Ocean Surface Scatterometric Measurements
title_full Optimization of Airborne Antenna Geometry for Ocean Surface Scatterometric Measurements
title_fullStr Optimization of Airborne Antenna Geometry for Ocean Surface Scatterometric Measurements
title_full_unstemmed Optimization of Airborne Antenna Geometry for Ocean Surface Scatterometric Measurements
title_sort optimization of airborne antenna geometry for ocean surface scatterometric measurements
publisher MDPI AG
series Remote Sensing
issn 2072-4292
publishDate 2018-09-01
description We consider different antenna configurations, ranging from simple X-configuration to multi-beam star geometries, for airborne scatterometric measurements of the wind vector near the ocean surface. For all geometries, track-stabilized antenna configurations, as well as horizontal transmitter and receiver polarizations, are considered. The wind vector retrieval algorithm is generalized here for an arbitrary star geometry antenna configuration and tested using the Ku-Band geophysical model function. Using Monte Carlo simulations for the fixed total measurement time, we show explicitly that the relative wind speed estimation accuracy barely depends on the chosen antenna geometry, while the maximum wind direction retrieval error reduces moderately with increasing angular resolution, although at the cost of increased retrieval algorithm computational complexity, thus, limiting online analysis options with onboard equipment. Remarkably, the simplest X-configuration, while the simplest in terms of hardware implementation and computational time, appears an outlier, yielding considerably higher maximum retrieval errors when compared to all other configurations. We believe that our results are useful for the optimization of both hardware and software design for modern airborne scatterometric measurement systems based on tunable antenna arrays especially, those requiring online data processing.
topic airborne scatterometer
multi-beam antenna configuration
star geometry
ocean surface
wind vector
retrieval accuracy
url http://www.mdpi.com/2072-4292/10/10/1501
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