@inproceedings{dd8efcc601ea4845bf397cbf5d16921a,
title = "Diffraction tomography for ultra-wideband noise radar and imaging quality measure of a cylindrical perfectly conducting object",
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.",
author = "Shin, {Hee Jung} and Narayanan, {Ram M.} and Muralidhar Rangaswamy",
year = "2014",
doi = "10.1109/RADAR.2014.6875681",
language = "English (US)",
isbn = "9781479920341",
series = "IEEE National Radar Conference - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "702--707",
booktitle = "2014 IEEE Radar Conference",
address = "United States",
note = "2014 IEEE Radar Conference, RadarCon 2014 ; Conference date: 19-05-2014 Through 23-05-2014",
}