Curvilinear SAR 3D imaging by orthogonal matching pursuit

Abstract

Curvilinear Synthetic Aperture Radar (CLSAR) has very high research value owing to realizing three-dimensional imaging through radar curvilinear flight in azimuth-altitude plane. In this paper, the principle of three-dimensional (3D) imaging based on curvilinear SAR is analyzed, and the signal model of curvilinear SAR imaging is established. Due to the sparsity of imaged target in three-dimensional space, the measure equation of curvilinear SAR is established which based on the radar echo linear model for 3D scene and the orthogonal matching pursuit (OMP) algorithm is used to solve the measure equation and reconstruct the 3D scene. Compared with the classical fast Fourier transform (FFT) algorithm, the sidelobes are greatly lower, and the imaging quality is significantly improved. Simulation results show that the method is effective in CLSAR 3D imaging.