You have requested a machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Neither SPIE nor the owners and publishers of the content make, and they explicitly disclaim, any express or implied representations or warranties of any kind, including, without limitation, representations and warranties as to the functionality of the translation feature or the accuracy or completeness of the translations.
Translations are not retained in our system. Your use of this feature and the translations is subject to all use restrictions contained in the Terms and Conditions of Use of the SPIE website.
21 May 2015Principle and experimental results of ultra-wideband noise radar imaging of a cylindrical conducting object using diffraction tomography
In this paper, the principle, simulation, and experiment results of tomographic imaging of a cylindrical conducting object using random noise waveforms are presented. Theoretical analysis of scattering and the image reconstruction technique are developed based on physical optics approximation and Fourier diffraction tomography, respectively. The bistatic radar system is designed to transmit band-limited ultra-wideband (UWB) random noise waveforms at a fixed position, and a linear scanner allows a single receiving antenna to move along a horizontal axis for backward scattering measurement in the frequency range from 3–5 GHz. The reconstructed tomographic image of the rotating cylindrical conducting object based on experimental results are seen to be in good agreement with the simulation results, which demonstrates the capability of UWB noise radar for complete two-dimensional tomographic image reconstruction of a cylindrical conducting object.
The alert did not successfully save. Please try again later.
Hee Jung Shin, Mark A. Asmuth, Ram M. Narayanan, Muralidhar Rangaswamy, "Principle and experimental results of ultra-wideband noise radar imaging of a cylindrical conducting object using diffraction tomography," Proc. SPIE 9461, Radar Sensor Technology XIX; and Active and Passive Signatures VI, 94610V (21 May 2015); https://doi.org/10.1117/12.2176752