Principle and experimental results of ultra-wideband noise radar imaging of a cylindrical conducting object using diffraction tomography

Hee Jung Shin, Mark A. Asmuth, Ram Mohan Narayanan, Muralidhar Rangaswamy

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

2 Scopus citations

Abstract

In this paper, the principle, simulation, and experiment results of tomographic imaging of a cylindrical conducting object using random noise waveforms are presented. Theoretical analysis of scattering and the image reconstruction technique are developed based on physical optics approximation and Fourier diffraction tomography, respectively. The bistatic radar system is designed to transmit band-limited ultra-wideband (UWB) random noise waveforms at a fixed position, and a linear scanner allows a single receiving antenna to move along a horizontal axis for backward scattering measurement in the frequency range from 3-5 GHz. The reconstructed tomographic image of the rotating cylindrical conducting object based on experimental results are seen to be in good agreement with the simulation results, which demonstrates the capability of UWB noise radar for complete two-dimensional tomographic image reconstruction of a cylindrical conducting object.

Original languageEnglish (US)
Title of host publicationRadar Sensor Technology XIX; and Active and Passive Signatures VI
EditorsArmin Doerry, Chadwick Todd Hawley, G. Charmaine Gilbreath, Kenneth I. Ranney
PublisherSPIE
ISBN (Electronic)9781628415773
DOIs
StatePublished - Jan 1 2015
EventRadar Sensor Technology XIX; and Active and Passive Signatures VI - Baltimore, United States
Duration: Apr 20 2015Apr 23 2015

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume9461
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Other

OtherRadar Sensor Technology XIX; and Active and Passive Signatures VI
CountryUnited States
CityBaltimore
Period4/20/154/23/15

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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