Synthetic Aperture Imaging of Direction and Frequency Dependent Reflectivities

Abstract

We introduce a synthetic aperture imaging framework that takes into consideration directional dependence of the reflectivity that is to be imaged, as well as its frequency dependence. We use an ${\ell }_1$ minimization approach that is coordinated with data segmentation so as to fuse information from multiple sub-apertures and frequency sub-bands. We analyze this approach from first principles and assess its performance with numerical simulations in an X-band radar regime.

References in corpus (1)

• Imaging strong localized scatterers with sparsity promoting optimization