Ultra-wideband noise radar imaging of cylindrical PEC objects using diffraction tomography

Hee Jung Shin, Ram Mohan Narayanan, Muralidhar Rangaswamy

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

6 Scopus citations

Abstract

In this paper, we show that a single transmission of a random noise waveform may not sufficient to obtain a successful tomographic image of an object. In order to overcome this shortcoming, multiple independent and identically distributed (iid) random noise waveforms over a frequency range from 8 to 10 GHz are transmitted to reconstruct the final image of various objects. Diffraction tomography theorem is applied for each noise waveform transmission so that the image of the multiple objects is reconstructed based on the backward scattered field at the end of each noise waveform transmission realization. After all iid noise waveforms are transmitted, the final tomographic image of the target is reconstructed by averaging all obtained images from multiple transmissions. Several numerical simulations in the spatial frequency domain are performed, and the successful tomographic image of the multiple cylindrical PEC objects is achieved after transmission of multiple iid ultra-wideband (UWB) random noise waveforms.

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
CountryUnited States
CityBaltimore, MD
Period5/5/145/7/14

    Fingerprint

All Science Journal Classification (ASJC) codes

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

Cite this

Shin, H. J., Narayanan, R. M., & Rangaswamy, M. (2014). Ultra-wideband noise radar imaging of cylindrical PEC objects using diffraction tomography. In Radar Sensor Technology XVIII [90770J] (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 9077). SPIE. https://doi.org/10.1117/12.2050133