Radar Cross Section Estimation for Entomoligcal Applications: Target Dielectric Characterization and Its Impacts

Omar Alzaabi, Mohammad M. Al-Khaldi, Mohamed Alkhatib, Diego Penaloza, Julio Urbina, James K. Breakall, Michael Lanagan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

classifying the behavioral norms of airborne organisms remains and continues to be a topic of growing interest due to their essential impact on environmental and ecological factors. Through electromagnetic characterization, radar cross section (RCS) of airborne insects can be used to provide a complementary study in monitoring and understanding their intriguing behavior. This paper investigates the characterization of airborne insect's RCS through a Method of Moments (MoM) numerical modeling approach. The findings of this study sheds light on the sensitivity of both modeled and measured RCS estimates to the dielectric properties of honeybees and highlights that corrupting effects may not be accounted for accurately in previous literature. Modeling results obtained through simulation studies are validated through rigorous experimental analysis performed on Honeybees, a type of airborne insect. It has been shown that the RCS of Honeybees can be accurately estimated across a wide range of frequencies, incidence angles and polarizations using the modeling approach described herein.

Original languageBritish English
Title of host publication2021 IEEE USNC-URSI Radio Science Meeting (Joint with AP-S Symposium), USNC-URSI 2021 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages29-30
Number of pages2
ISBN (Electronic)9781946815101
DOIs
StatePublished - 2021
Event2021 IEEE USNC-URSI Radio Science Meeting (Joint with AP-S Symposium), USNC-URSI 2021 - Singapore, Singapore
Duration: 4 Dec 202110 Dec 2021

Publication series

Name2021 IEEE USNC-URSI Radio Science Meeting (Joint with AP-S Symposium), USNC-URSI 2021 - Proceedings

Conference

Conference2021 IEEE USNC-URSI Radio Science Meeting (Joint with AP-S Symposium), USNC-URSI 2021
Country/TerritorySingapore
CitySingapore
Period4/12/2110/12/21

Keywords

  • bio-electromagnetics
  • dielectric characterization
  • numerical methods
  • Radar cross section

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