Study on Acceleration Algorithm for Raw Data Simulation of High Resolution Squint Spotlight SAR

Raw data simulation is the front-end work of synthetic aperture radar（SAR） system development, which is of great significance.For high resolution squint spotlight SAR,time-domain raw data simulation is usually used, but its simulation efficiency is very low.In order to realize the raw data simulation of high resolution squint spotlight SAR efficiently, an effective acceleration algorithm is proposed.To reduce the redundant computation and save memory, this algorithm combines the time-domain raw data simulation model and its signal characteristics to compensate the range cell migration（RCM） in the raw data simulation process of squint spotlight SAR.An adaptive data partitioning algorithm is adopted to compute the partitioned data in graphic processing unit（GPU）, and the powerful computing capabilities of GPU is used to improve efficiency.Then the sub data blocks are transmitted and spliced in memory.The proposed algorithm improves the computational efficiency of time-domain raw data simulation, and solves the