Diffraction tomography for ultra-wideband noise radar and imaging quality measure of a cylindrical perfectly conducting object

Hee Jung Shin, Ram Mohan Narayanan, Muralidhar Rangaswamy

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

5 Citations (Scopus)

Abstract

The tomographic image of a single cylindrical PEC object is obtained using diffraction tomography theorem after multiple transmissions of independent and identically distributed (iid) UWB random noise waveforms. The final tomographic image of the cylinder is successfully achieved by averaging all obtained images from multiple transmissions. For each transmission, iid band-limited white Gaussian noise waveform over a frequency range from 8-10 GHz is transmitted. Several numerical simulations in spatial frequency domain are performed, and the tomographic images are generated based on the backward scattering data of each transmitted iid UWB noise waveform. Mean square error is calculated to measure the image quality of the reconstructed tomographic image as well.

Original languageEnglish (US)
Title of host publication2014 IEEE Radar Conference
Subtitle of host publicationFrom Sensing to Information, RadarCon 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages702-707
Number of pages6
ISBN (Print)9781479920341
DOIs
StatePublished - Jan 1 2014
Event2014 IEEE Radar Conference, RadarCon 2014 - Cincinnati, OH, United States
Duration: May 19 2014May 23 2014

Publication series

NameIEEE National Radar Conference - Proceedings
ISSN (Print)1097-5659

Other

Other2014 IEEE Radar Conference, RadarCon 2014
CountryUnited States
CityCincinnati, OH
Period5/19/145/23/14

Fingerprint

Spurious signal noise
Ultra-wideband (UWB)
Tomography
Diffraction
Imaging techniques
Mean square error
Image quality
Scattering
Computer simulation

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

Cite this

Shin, H. J., Narayanan, R. M., & Rangaswamy, M. (2014). Diffraction tomography for ultra-wideband noise radar and imaging quality measure of a cylindrical perfectly conducting object. In 2014 IEEE Radar Conference: From Sensing to Information, RadarCon 2014 (pp. 702-707). [6875681] (IEEE National Radar Conference - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/RADAR.2014.6875681
Shin, Hee Jung ; Narayanan, Ram Mohan ; Rangaswamy, Muralidhar. / Diffraction tomography for ultra-wideband noise radar and imaging quality measure of a cylindrical perfectly conducting object. 2014 IEEE Radar Conference: From Sensing to Information, RadarCon 2014. Institute of Electrical and Electronics Engineers Inc., 2014. pp. 702-707 (IEEE National Radar Conference - Proceedings).
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abstract = "The tomographic image of a single cylindrical PEC object is obtained using diffraction tomography theorem after multiple transmissions of independent and identically distributed (iid) UWB random noise waveforms. The final tomographic image of the cylinder is successfully achieved by averaging all obtained images from multiple transmissions. For each transmission, iid band-limited white Gaussian noise waveform over a frequency range from 8-10 GHz is transmitted. Several numerical simulations in spatial frequency domain are performed, and the tomographic images are generated based on the backward scattering data of each transmitted iid UWB noise waveform. Mean square error is calculated to measure the image quality of the reconstructed tomographic image as well.",
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Shin, HJ, Narayanan, RM & Rangaswamy, M 2014, Diffraction tomography for ultra-wideband noise radar and imaging quality measure of a cylindrical perfectly conducting object. in 2014 IEEE Radar Conference: From Sensing to Information, RadarCon 2014., 6875681, IEEE National Radar Conference - Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 702-707, 2014 IEEE Radar Conference, RadarCon 2014, Cincinnati, OH, United States, 5/19/14. https://doi.org/10.1109/RADAR.2014.6875681

Diffraction tomography for ultra-wideband noise radar and imaging quality measure of a cylindrical perfectly conducting object. / Shin, Hee Jung; Narayanan, Ram Mohan; Rangaswamy, Muralidhar.

2014 IEEE Radar Conference: From Sensing to Information, RadarCon 2014. Institute of Electrical and Electronics Engineers Inc., 2014. p. 702-707 6875681 (IEEE National Radar Conference - Proceedings).

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

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Shin HJ, Narayanan RM, Rangaswamy M. Diffraction tomography for ultra-wideband noise radar and imaging quality measure of a cylindrical perfectly conducting object. In 2014 IEEE Radar Conference: From Sensing to Information, RadarCon 2014. Institute of Electrical and Electronics Engineers Inc. 2014. p. 702-707. 6875681. (IEEE National Radar Conference - Proceedings). https://doi.org/10.1109/RADAR.2014.6875681