A Study on the FMCW SAR Imaging Based on Compressive Sensing Using Split Bregman Method

Abstract

This paper proposes a new image formulation algorithm using the method of compressive sensing in an FMCW radar system. This algorithm contains of two important points. First, we reduced dimension of a sensing matrix using properties of Kronecker product. Second, we adopted a sparse recovery problem on total variation domain and solved our problem using the Split Bregman method, which is applicable to 2-D optimization. Thanks to proposed algorithm, we shortened the time of image formulation and reduced a computational complexity in the FMCW radar system. As a result, it is expected that a real time SAR imaging system can be realized.