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Proceedings Paper

Ultra-wideband noise radar imaging of cylindrical PEC objects using diffraction tomography
Author(s): Hee Jung Shin; Ram M. Narayanan; Muralidhar Rangaswamy
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Paper 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.

Paper Details

Date Published: 29 May 2014
PDF: 10 pages
Proc. SPIE 9077, Radar Sensor Technology XVIII, 90770J (29 May 2014); doi: 10.1117/12.2050133
Show Author Affiliations
Hee Jung Shin, The Pennsylvania State Univ. (United States)
Ram M. Narayanan, The Pennsylvania State Univ. (United States)
Muralidhar Rangaswamy, Air Force Research Lab. (United States)


Published in SPIE Proceedings Vol. 9077:
Radar Sensor Technology XVIII
Kenneth I. Ranney; Armin Doerry, Editor(s)

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