Elevation Profile Estimation for Single Pass Bi-Static SAR Tomography Using Compressed Sensing

Single-pass bistatic Synthetic Aperture Radar (SAR) Tomography, which involves a space-borne transmitter and a ground-based multi-channel receiver, presents an alternative to traditional TomoSAR. Typically, spectral-based reconstruction methods that either, require a large number of receiving elements or a specific configuration for a limited number of elements are considered, for achieving a desired resolution. However, these algorithms perform poorly for closed target scenarios.In this study, we propose a novel approach for estimating the elevation profile using a reduced number of channels, without the need for a specific array configuration. We treat the problem as an underdetermined system of equations and employ Compressed Sensing (CS) algorithms to solve it. The performance of the proposed approach is compared against the spectral-based approach using Monte Carlo simulations and demonstrated on real data measurements.