title: Electromagnetic Model Reliably Predicts Radar Scattering Characteristics of Airborne Organisms.
abstract: 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.
authors.affiliation: Cooperative Institute for Mesoscale Meteorological Studies, University of Oklahoma, Norman, Oklahoma 73072, United States of America.
authors.forename: Djordje
authors.initials: D
authors.lastname: Mirkovic
authors.affiliation: Advanced Radar Research Center and School of Meteorology, University of Oklahoma, Norman, Oklahoma 73072, United States of America.
authors.forename: Phillip M
authors.initials: PM
authors.lastname: Stepanian
authors.affiliation: Oklahoma Biological Survey and Department of Biology, University of Oklahoma, Norman, Oklahoma 73019, United States of America.
authors.forename: Jeffrey F
authors.initials: JF
authors.lastname: Kelly
authors.affiliation: Advanced Radar Research Center and School of Meteorology, University of Oklahoma, Norman, Oklahoma 73072, United States of America.
authors.forename: Phillip B
authors.initials: PB
authors.lastname: Chilson
mesh_terms: D000818:Animals; D001695:Biology / Q000379:methods*; D001717:Birds / Q000502:physiology*; D002685:Chiroptera / Q000502:physiology*; D055590:Electromagnetic Phenomena; D005426:Flight, Animal; D007313:Insecta / Q000502:physiology*; D008962:Models, Theoretical; D011825:Radar / Q000706:statistics & numerical data*