Synthetic Aperture Imaging of Direction and Frequency Dependent Reflectivities

TL;DR

This paper presents a synthetic aperture imaging method that accounts for directional and frequency-dependent reflectivities, using an  minimization approach with data segmentation, validated through numerical simulations in radar applications.

Contribution

It introduces a novel imaging framework that incorporates directional and frequency dependence of reflectivities, combining  minimization with data segmentation for improved imaging.

Findings

Effective imaging of direction and frequency-dependent reflectivities demonstrated.

Numerical simulations validate the approach in an X-band radar regime.

The method outperforms traditional techniques by fusing multi-band and multi-aperture data.

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.