A performance analysis of typical imaging algorithms in Ground-Based Synthetic aperture radar

摘要

Surface deformation disasters, such as landslides, debris flow and collapse, do great harm to human lives and property. Ground-Based Synthetic aperture radar (GB-SAR) has been widely applied in deformation monitoring and measurement with the advantages of all-weather, all-day and high precision. Back projection (BP) algorithm, algorithm based on keystone and subblock dechirp (KSD), and far-field pseudopolar format algorithm (FPFA) are typical imaging algorithms used in GB-SAR. This paper analyzes the three algorithms from aspects of application scope, computation burden, and deformation measurement precision. Results show that KSD is most appropriate for GB-SAR.