Ultrawideband noise radar imaging of impenetrable cylindrical objects using diffraction tomography

Hee Jung Shin, Ram Mohan Narayanan, Muralidhar Rangaswamy

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

Ultrawideband (UWB) waveforms achieve excellent spatial resolution for better characterization of targets in tomographic imaging applications compared to narrowband waveforms. In this paper, two-dimensional tomographic images of multiple scattering objects are successfully obtained using the diffraction tomography approach by transmitting multiple independent and identically distributed (iid) UWB random noise waveforms. The feasibility of using a random noise waveform for tomography is investigated by formulating a white Gaussian noise (WGN) model using spectral estimation. The analytical formulation of object image formation using random noise waveforms is established based on the backward scattering, and several numerical diffraction tomography simulations are performed in the spatial frequency domain to validate the analytical results by reconstructing the tomographic images of scattering objects. The final image of the object based on multiple transmitted noise waveforms is reconstructed by averaging individually formed images which compares very well with the image created using the traditional Gaussian pulse. Pixel difference-based measure is used to analyze and estimate the image quality of the final reconstructed tomographic image under various signal-to-noise ratio (SNR) conditions. Also, preliminary experiment setup and measurement results are presented to assess the validation of simulation results.

Original languageEnglish (US)
Article number601659
JournalInternational Journal of Microwave Science and Technology
Volume2014
DOIs
StatePublished - Jan 1 2014

Fingerprint

imaging radar
Radar imaging
Ultra-wideband (UWB)
Tomography
tomography
Diffraction
waveforms
random noise
diffraction
Scattering
Multiple scattering
Image quality
Signal to noise ratio
Image processing
Pixels
Imaging techniques
scattering
Experiments
narrowband
signal to noise ratios

All Science Journal Classification (ASJC) codes

  • Radiation
  • Condensed Matter Physics
  • Electrical and Electronic Engineering

Cite this

@article{44f4bb41c64d40c49975b3d33ba71eea,
title = "Ultrawideband noise radar imaging of impenetrable cylindrical objects using diffraction tomography",
abstract = "Ultrawideband (UWB) waveforms achieve excellent spatial resolution for better characterization of targets in tomographic imaging applications compared to narrowband waveforms. In this paper, two-dimensional tomographic images of multiple scattering objects are successfully obtained using the diffraction tomography approach by transmitting multiple independent and identically distributed (iid) UWB random noise waveforms. The feasibility of using a random noise waveform for tomography is investigated by formulating a white Gaussian noise (WGN) model using spectral estimation. The analytical formulation of object image formation using random noise waveforms is established based on the backward scattering, and several numerical diffraction tomography simulations are performed in the spatial frequency domain to validate the analytical results by reconstructing the tomographic images of scattering objects. The final image of the object based on multiple transmitted noise waveforms is reconstructed by averaging individually formed images which compares very well with the image created using the traditional Gaussian pulse. Pixel difference-based measure is used to analyze and estimate the image quality of the final reconstructed tomographic image under various signal-to-noise ratio (SNR) conditions. Also, preliminary experiment setup and measurement results are presented to assess the validation of simulation results.",
author = "Shin, {Hee Jung} and Narayanan, {Ram Mohan} and Muralidhar Rangaswamy",
year = "2014",
month = "1",
day = "1",
doi = "10.1155/2014/601659",
language = "English (US)",
volume = "2014",
journal = "International Journal of Microwave Science and Technology",
issn = "1687-5826",
publisher = "Hindawi Publishing Corporation",

}

Ultrawideband noise radar imaging of impenetrable cylindrical objects using diffraction tomography. / Shin, Hee Jung; Narayanan, Ram Mohan; Rangaswamy, Muralidhar.

In: International Journal of Microwave Science and Technology, Vol. 2014, 601659, 01.01.2014.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Ultrawideband noise radar imaging of impenetrable cylindrical objects using diffraction tomography

AU - Shin, Hee Jung

AU - Narayanan, Ram Mohan

AU - Rangaswamy, Muralidhar

PY - 2014/1/1

Y1 - 2014/1/1

N2 - Ultrawideband (UWB) waveforms achieve excellent spatial resolution for better characterization of targets in tomographic imaging applications compared to narrowband waveforms. In this paper, two-dimensional tomographic images of multiple scattering objects are successfully obtained using the diffraction tomography approach by transmitting multiple independent and identically distributed (iid) UWB random noise waveforms. The feasibility of using a random noise waveform for tomography is investigated by formulating a white Gaussian noise (WGN) model using spectral estimation. The analytical formulation of object image formation using random noise waveforms is established based on the backward scattering, and several numerical diffraction tomography simulations are performed in the spatial frequency domain to validate the analytical results by reconstructing the tomographic images of scattering objects. The final image of the object based on multiple transmitted noise waveforms is reconstructed by averaging individually formed images which compares very well with the image created using the traditional Gaussian pulse. Pixel difference-based measure is used to analyze and estimate the image quality of the final reconstructed tomographic image under various signal-to-noise ratio (SNR) conditions. Also, preliminary experiment setup and measurement results are presented to assess the validation of simulation results.

AB - Ultrawideband (UWB) waveforms achieve excellent spatial resolution for better characterization of targets in tomographic imaging applications compared to narrowband waveforms. In this paper, two-dimensional tomographic images of multiple scattering objects are successfully obtained using the diffraction tomography approach by transmitting multiple independent and identically distributed (iid) UWB random noise waveforms. The feasibility of using a random noise waveform for tomography is investigated by formulating a white Gaussian noise (WGN) model using spectral estimation. The analytical formulation of object image formation using random noise waveforms is established based on the backward scattering, and several numerical diffraction tomography simulations are performed in the spatial frequency domain to validate the analytical results by reconstructing the tomographic images of scattering objects. The final image of the object based on multiple transmitted noise waveforms is reconstructed by averaging individually formed images which compares very well with the image created using the traditional Gaussian pulse. Pixel difference-based measure is used to analyze and estimate the image quality of the final reconstructed tomographic image under various signal-to-noise ratio (SNR) conditions. Also, preliminary experiment setup and measurement results are presented to assess the validation of simulation results.

UR - http://www.scopus.com/inward/record.url?scp=84920495193&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84920495193&partnerID=8YFLogxK

U2 - 10.1155/2014/601659

DO - 10.1155/2014/601659

M3 - Article

VL - 2014

JO - International Journal of Microwave Science and Technology

JF - International Journal of Microwave Science and Technology

SN - 1687-5826

M1 - 601659

ER -