A Novel 3d Imaging Method For Downward-Looking Mimo-Sar Based On L-Q Regularization

Downward-looking multiple-input-multiple-output synthetic aperture radar (MIMO-SAR)three-dimensional (3D) imaging has wide application prospects. But to realize high cross-track resolution imaging needs lots of antenna elements and long antenna array, which are limited by the hardware. In this paper,a novel imaging method for downward-looking MIMO-SAR based on L-q regularization is proposed to solve this problem, which transforms the cross-track imaging process into a L-q regularization model by building and analyzing a structured over-complete dictionary based on the echo signal. With the proposed method, better resolution can be obtained and a smaller amount of antenna elements is required for imaging compared to the conventional method. The proposed method has been verified by simulations.