Compressive sensing and adaptive sampling applied to millimeter wave inverse synthetic aperture imaging.

TitleCompressive sensing and adaptive sampling applied to millimeter wave inverse synthetic aperture imaging.
Publication TypeJournal Article
Year of Publication2017
AuthorsR Zhu, JT Richard, DJ Brady, DL Marks, and HO Everitt
JournalOptics Express
Volume25
Start Page2270
Issue3
Pagination2270 - 2284
Date Published02/2017
Abstract

In order to improve speed and efficiency over traditional scanning methods, a Bayesian compressive sensing algorithm using adaptive spatial sampling is developed for single detector millimeter wave synthetic aperture imaging. The application of this algorithm is compared to random sampling to demonstrate that the adaptive algorithm converges faster for simple targets and generates more reliable reconstructions for complex targets.

DOI10.1364/oe.25.002270
Short TitleOptics Express