@inproceedings{a20204559c8a4525ac3bd519bcc2b781,
title = "Microwave imaging using ultra-wideband noise waveforms for nondestructive testing of multilayer structures",
abstract = "Ultrawideband noise signals have shown proven benefits in the realm of remote sensing for decades-aiding in the detection and localization of potentially harmful concealed objects. The characteristics of these waveforms show promise in the area of nondestructive testing for the detection of defects within multilayered structures. In this paper, we develop an approach to identify noise waveforms that will perform as effectively, or outperform, other common waveforms used in microwave imaging. Experimental data are gathered using a microwave imaging system operating in the X-band frequency range to detect the presence of water in dielectric materials and air voids in concrete walls reinforced with glass-fiber reinforced polymers.",
author = "Navagato, {Marc D.} and Narayanan, {Ram M.}",
note = "Funding Information: This work was supported by the US Office of Naval Research Contract Number N00014-15-1-2021 (POC: William Nickerson). Publisher Copyright: {\textcopyright} 2018 SPIE.; Radar Sensor Technology XXII 2018 ; Conference date: 16-04-2018 Through 18-04-2018",
year = "2018",
doi = "10.1117/12.2305850",
language = "English (US)",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Armin Doerry and Ranney, {Kenneth I.}",
booktitle = "Radar Sensor Technology XXII",
address = "United States",
}