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Foundations for Innovative Application of Airborne Radars by Alexey Nekrasov
Foundations for Innovative Application of Airborne Radars by Alexey Nekrasov
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Foundations for Innovative Application of Airborne Radars

Functionality Enhancement for Measuring the Water Surface Backscattering Signature and Wind
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Description

This book discusses methods for measuring the water surface backscattering signature and estimating the near-surface wind vector over water using airborne radars, in addition to their standard application. Airborne FMCW demonstrator system, Doppler navigation system, airborne weather radar, airborne radar altimeter, and airborne precipitation radar are analyzed in order to be used for that purpose. The radars functionality is enhanced for their operation in a scatterometer mode. A circle flight and/or a rectilinear flight of an aircraft over the water surface is considered depending on the radar design features to perform measurements of the azimuth normalized radar cross section curve of the water surface and/or the near-surface wind speed and direction. Flight recommendations to perform measurements along with algorithms for measuring the water surface backscattering signature and for retrieval of the wind speed and direction over water are presented.

Author Biography:

Alexey Nekrasov received the diploma in radio engineering, the Ph.D. degree and the academic title of Associate Professor from Taganrog State University of Radio Engineering, Taganrog, Russia, in 1991, 1998, and 2000, respectively. He is an Associate Professor and a Senior Scientist at the Southern Federal University, Russia. He has been an expert of the Russian Academy of Sciences, and the Russian Science Foundation, a recipient of 24 international grants and awards, and a reviewer for various IEEE, MDPI, and IET journals.
Release date Australia
April 3rd, 2021
Audience
  • Professional & Vocational
Edition
2nd ed. 2021
Illustrations
62 Illustrations, black and white; XVIII, 113 p. 62 illus.
Pages
113
ISBN-13
9783030629410
Product ID
34028411

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