Next Article in Journal
Using Window Regression to Gap-Fill Landsat ETM+ Post SLC-Off Data
Next Article in Special Issue
Deep Learning-Based Automatic Clutter/Interference Detection for HFSWR
Previous Article in Journal
Monitoring Retreat of Coastal Sandy Systems Using Geomatics Techniques: Somo Beach (Cantabrian Coast, Spain, 1875–2017)
Previous Article in Special Issue
Wind Direction Inversion from Narrow-Beam HF Radar Backscatter Signals in Low and High Wind Conditions at Different Radar Frequencies
Open AccessArticle

Optimization of Airborne Antenna Geometry for Ocean Surface Scatterometric Measurements

Department of Radio Engineering Systems and Scientific-Research Institute “Prognoz”, Saint Petersburg Electrotechnical University, Professora Popova 5, 197376 Saint Petersburg, Russia
Institute for Computer Technologies and Information Security, Southern Federal University, Chekhova 2, 347922 Taganrog, Russia
Institute of High Frequency Technology, Hamburg University of Technology, Denickestraße 22, 21073 Hamburg, Germany
Sochi State University, Sovetskaya 26a, 354000 Sochi, Russia
Institute for Radio Engineering Systems and Control, Southern Federal University, Engelsa 1, 347922 Taganrog, Russia
Author to whom correspondence should be addressed.
Remote Sens. 2018, 10(10), 1501;
Received: 26 July 2018 / Revised: 14 September 2018 / Accepted: 18 September 2018 / Published: 20 September 2018
(This article belongs to the Special Issue Ocean Radar)
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. View Full-Text
Keywords: airborne scatterometer; multi-beam antenna configuration; star geometry; ocean surface; wind vector; retrieval accuracy airborne scatterometer; multi-beam antenna configuration; star geometry; ocean surface; wind vector; retrieval accuracy
Show Figures

Graphical abstract

MDPI and ACS Style

Nekrasov, A.; Khachaturian, A.; Abramov, E.; Popov, D.; Markelov, O.; Obukhovets, V.; Veremyev, V.; Bogachev, M. Optimization of Airborne Antenna Geometry for Ocean Surface Scatterometric Measurements. Remote Sens. 2018, 10, 1501.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

Search more from Scilit
Back to TopTop