In this paper, we designed a new two-stage algorithm to formulate accurately the focusing image with the highly squinted synthetic aperture radar. First of all is the general model of the squinted synthetic aperture radar (SAR) focusing a fixed area. After the echo data collection, the first stage of the algorithm is to establish the coarse image by performing the conventional range cell migration correction and azimuth matched filtering. In the second stage, the azimuth-variant was corrected and the motion compensation was carried to achieve a better image. A simulation experiment was given in the end.
In this paper, a sparse representation of the data for an inverse synthetic aperture radar (ISAR) system is provided in two dimensions. The proposed sparse representation motivates the use a of a Convex Optimization that recovers the image with far less samples, which is required by Nyquist-Shannon sampling theorem to increases the efficiency and decrease the cost of calculation in radar imaging.