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Electromagnetic Model Reliably Predicts Radar Scattering Characteristics of Airborne Organisms

The radar scattering characteristics of aerial animals are typically obtained from controlled laboratory measurements of a freshly harvested specimen. These measurements are tedious to perform, difficult to replicate, and typically yield only a small subset of the full azimuthal, elevational, and po...

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Autores principales: Mirkovic, Djordje, Stepanian, Phillip M., Kelly, Jeffrey F., Chilson, Phillip B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5071894/
https://www.ncbi.nlm.nih.gov/pubmed/27762292
http://dx.doi.org/10.1038/srep35637
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author Mirkovic, Djordje
Stepanian, Phillip M.
Kelly, Jeffrey F.
Chilson, Phillip B.
author_facet Mirkovic, Djordje
Stepanian, Phillip M.
Kelly, Jeffrey F.
Chilson, Phillip B.
author_sort Mirkovic, Djordje
collection PubMed
description The radar scattering characteristics of aerial animals are typically obtained from controlled laboratory measurements of a freshly harvested specimen. These measurements are tedious to perform, difficult to replicate, and typically yield only a small subset of the full azimuthal, elevational, and polarimetric radio scattering data. As an alternative, biological applications of radar often assume that the radar cross sections of flying animals are isotropic, since sophisticated computer models are required to estimate the 3D scattering properties of objects having complex shapes. Using the method of moments implemented in the WIPL-D software package, we show for the first time that such electromagnetic modeling techniques (typically applied to man-made objects) can accurately predict organismal radio scattering characteristics from an anatomical model: here the Brazilian free-tailed bat (Tadarida brasiliensis). The simulated scattering properties of the bat agree with controlled measurements and radar observations made during a field study of bats in flight. This numerical technique can produce the full angular set of quantitative polarimetric scattering characteristics, while eliminating many practical difficulties associated with physical measurements. Such a modeling framework can be applied for bird, bat, and insect species, and will help drive a shift in radar biology from a largely qualitative and phenomenological science toward quantitative estimation of animal densities and taxonomic identification.
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spelling pubmed-50718942016-10-26 Electromagnetic Model Reliably Predicts Radar Scattering Characteristics of Airborne Organisms Mirkovic, Djordje Stepanian, Phillip M. Kelly, Jeffrey F. Chilson, Phillip B. Sci Rep Article The radar scattering characteristics of aerial animals are typically obtained from controlled laboratory measurements of a freshly harvested specimen. These measurements are tedious to perform, difficult to replicate, and typically yield only a small subset of the full azimuthal, elevational, and polarimetric radio scattering data. As an alternative, biological applications of radar often assume that the radar cross sections of flying animals are isotropic, since sophisticated computer models are required to estimate the 3D scattering properties of objects having complex shapes. Using the method of moments implemented in the WIPL-D software package, we show for the first time that such electromagnetic modeling techniques (typically applied to man-made objects) can accurately predict organismal radio scattering characteristics from an anatomical model: here the Brazilian free-tailed bat (Tadarida brasiliensis). The simulated scattering properties of the bat agree with controlled measurements and radar observations made during a field study of bats in flight. This numerical technique can produce the full angular set of quantitative polarimetric scattering characteristics, while eliminating many practical difficulties associated with physical measurements. Such a modeling framework can be applied for bird, bat, and insect species, and will help drive a shift in radar biology from a largely qualitative and phenomenological science toward quantitative estimation of animal densities and taxonomic identification. Nature Publishing Group 2016-10-20 /pmc/articles/PMC5071894/ /pubmed/27762292 http://dx.doi.org/10.1038/srep35637 Text en Copyright © 2016, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Mirkovic, Djordje
Stepanian, Phillip M.
Kelly, Jeffrey F.
Chilson, Phillip B.
Electromagnetic Model Reliably Predicts Radar Scattering Characteristics of Airborne Organisms
title Electromagnetic Model Reliably Predicts Radar Scattering Characteristics of Airborne Organisms
title_full Electromagnetic Model Reliably Predicts Radar Scattering Characteristics of Airborne Organisms
title_fullStr Electromagnetic Model Reliably Predicts Radar Scattering Characteristics of Airborne Organisms
title_full_unstemmed Electromagnetic Model Reliably Predicts Radar Scattering Characteristics of Airborne Organisms
title_short Electromagnetic Model Reliably Predicts Radar Scattering Characteristics of Airborne Organisms
title_sort electromagnetic model reliably predicts radar scattering characteristics of airborne organisms
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5071894/
https://www.ncbi.nlm.nih.gov/pubmed/27762292
http://dx.doi.org/10.1038/srep35637
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