An Improved Off-Grid Algorithm Based on CoSaMP for ISAR Imaging

In the application of ISAR imaging based on compressed sensing recovery algorithm, due to the division of sparse basis discrete grids, off-grid phenomenon often occurs, which greatly reduces the imaging quality. This paper proposes an improved algorithm based on compressive sampling matching pursuit (CoSaMP) to solve the off-grid problem in CoSaMP by linearizing the model. The effectiveness of the algorithm is verified by the measured data of Mig-25.