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2018-10-04
Multilayer Structural Diagnosis with Quasi-3D Microwave Imaging Using Ultrawideband Radio Frequency Noiselet Waveforms
By
Tae Hee Kim,

    Dr. Tae Hee Kim

    Department of Electrical Engineering

    The Pennsylvania State University

    USA

    Homepage

Ram M. Narayanan

    Prof. Ram M. Narayanan

    Electrical Engineering

    Pennsylvania State University

    USA

    Homepage

Progress In Electromagnetics Research B, Vol. 82, 73-92, 2018
doi:10.2528/PIERB18082908 | Google Scholar

Abstract
Microwave radar imaging is increasingly being used in infrastructure monitoring applications due to its low cost, rapid measurement time, non-contact characteristics, and ability to penetrate nonmetallic media. An appropriate waveform design must be designed to obtain accurate information on the targets observed or the features being probed. Ultrawideband (UWB) radio frequency (RF) noiselets are excellent candidate waveforms in view of their multiresolution and interference rejection features. In this paper, a waveform optimization approach for UWB noiselet waveforms is described to achieve high peak-to-sidelobe ratio (PSLR) to enhance imaging capabilities. Synthetic aperture radar (SAR) scanning for microwave imaging is introduced after analyzing the essential microwave approaches for the multilayered structure. Image reconstruction using SAR scanning is performed for various multilayered structures and quasi-3D images of these structures are presented for nondestructive testing and evaluation (NDT&E) applications.
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Citation
Tae Hee Kim, and Ram M. Narayanan, "Multilayer Structural Diagnosis with Quasi-3D Microwave Imaging Using Ultrawideband Radio Frequency Noiselet Waveforms," Progress In Electromagnetics Research B, Vol. 82, 73-92, 2018.
doi:10.2528/PIERB18082908
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