Radar signatures of indoor clutter for through-The-wall radar applications

Travis Dale Bufler, Ram Mohan Narayanan, Traian Dogaru

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Scopus citations

Abstract

In through-The-wall radar (TTWR) applications, scattering by indoor clutter elements can greatly confound the detection of humans. This paper analyzes the spectral and azimuthal scattering characteristics of various types of individual furniture targets and compares these to humans. Radar cross section (RCS) values of furniture and humans are obtained using the finite difference time domain (FDTD) technique over the 1-5 GHz frequency range and the 0-360 azimuth angle range for both co- and cross-polarized scattering. In the case of furniture, RCS responses show to the highest returns when viewing the planar surfaces of the clutter objects. Objects consisting primarily of smaller planar surfaces with more complex geometrical features showed a more uniform response with no preferred orientation showing a larger response. Human RCS produced from the biological models showed a more constant RCS when viewing the co-polarized response, where the back produced the highest response due to the more planar surface. The cross-polarized response was more varied providing for a wider range of RCS values.

Original languageEnglish (US)
Title of host publicationRadar Sensor Technology XVIII
PublisherSPIE
ISBN (Print)9781628410143
DOIs
StatePublished - Jan 1 2014
EventRadar Sensor Technology XVIII - Baltimore, MD, United States
Duration: May 5 2014May 7 2014

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume9077
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Other

OtherRadar Sensor Technology XVIII
Country/TerritoryUnited States
CityBaltimore, MD
Period5/5/145/7/14

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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