Design and implementation of a noise radar tomographic system

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

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

2 Scopus citations

Abstract

A hardware system has been developed to perform ultrawideband (UWB) noise radar tomography over the 3-5 GHz frequency range. The system utilizes RF hardware to transmit multiple independent and identically distributed UWB random noise waveforms. A 3-5 GHz band-limited signal is generated using an arbitrary waveform generator and the waveform is then amplified and transmitted through a horn antenna. A linear scanner with a single antenna is used in place of an antenna array to collect backscatter. The backscatter is collected from the transmission of each waveform and reconstructed to form an image. The images that result from each scan are averaged to produce a single tomographic image of the target. After background subtraction, the scans are averaged to improve the image quality. The experimental results are compared to the theoretical predictions. The system is able to successfully image metallic and dielectric cylinders of different cross sections.

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 - 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
Country/TerritoryUnited 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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