Parameter-Refined OMP for Compressive Radar Imaging of Rotating Targets

This paper presents a new parameter-refined orthogonal matching pursuit method to tackle the dictionary mismatch problem arising in compressive radar imaging of a rotating target with off-grid scatterers. The main idea is to replace the linear least-squares projection step of the conventional orthogonal matching pursuit (OMP) method with a nonlinear least-squares procedure which jointly estimates the off-grid positions and reflectivities of true scatterers. Simulations are presented to corroborate the performance advantages of the proposed method.