Please use this identifier to cite or link to this item: https://doi.org/10.15480/882.2350
Publisher DOI: 10.3390/rs10101501
Title: Optimization of airborne antenna geometry for ocean surface scatterometric measurements
Language: English
Authors: Nekrasov, Alexey 
Khachaturian, Alena 
Abramov, Evgeny 
Popov, Dmitry 
Markelov, Oleg 
Obukhovets, Viktor 
Veremyev, Vladimir 
Bogachev, Mikhail 
Keywords: airborne scatterometer;multi-beam antenna configuration;star geometry;ocean surface;wind vector;retrieval accuracy
Issue Date: 20-Sep-2018
Publisher: MDPI
Source: Remote Sensing 10 (10): 1501- (2018-10-01)
Journal or Series Name: Remote sensing 
Abstract (english): 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.
URI: http://hdl.handle.net/11420/3019
DOI: 10.15480/882.2350
ISSN: 2072-4292
Institute: Hochfrequenztechnik E-3 
Type: (wissenschaftlicher) Artikel
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