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Full-Text Articles in Engineering
Side Information In Coded Aperture Compressive Spectral Imaging, Laura Galvis, Henry Arguello, Daniel L. Lau, Gonzalo R. Arce
Side Information In Coded Aperture Compressive Spectral Imaging, Laura Galvis, Henry Arguello, Daniel L. Lau, Gonzalo R. Arce
Electrical and Computer Engineering Faculty Publications
Coded aperture compressive spectral imagers sense a three-dimensional cube by using two-dimensional projections of the coded and spectrally dispersed source. These imagers systems often rely on FPA detectors, SLMs, micromirror devices (DMDs), and dispersive elements. The use of the DMDs to implement the coded apertures facilitates the capture of multiple projections, each admitting a different coded aperture pattern. The DMD allows not only to collect the sufficient number of measurements for spectrally rich scenes or very detailed spatial scenes but to design the spatial structure of the coded apertures to maximize the information content on the compressive measurements. Although sparsity …
Sparsity Based Methods For Target Localization In Multi-Sensor Radar, Haley H. Kim
Sparsity Based Methods For Target Localization In Multi-Sensor Radar, Haley H. Kim
Dissertations
In this dissertation, several sparsity-based methods for ground moving target indicator (GMTI) radar with multiple-input multiple-output (MIMO) random arrays are proposed. MIMO random arrays are large arrays that employ multiple transmitters and receivers, the positions of the transmitters and the receivers are randomly chosen. Since the resolution of the array depends on the size of the array, MIMO random arrays obtain a high resolution. However, since the positions of the sensors are randomly chosen, the array suffers from large sidelobes which may lead to an increased false alarm probability. The number of sensors of a MIMO random array required to …