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

Abstract

In order to realize the raw data simulation of high resolution squint spotlight Synthetic Aperture Radar (SAR) efficiently, an effective acceleration algorithm is proposed. This algorithm combines the time-domain raw data simulation model and its signal characteristics to compensate the range cell migration (RCM) existing in the raw data simulation process of squint spotlight SAR. An adaptive data partitioning algorithm is used, and computes partitioned data respectively in GPU. Then the partitioned data are transmitted and spliced. The algorithm improves the computational efficiency of time-domain raw data simulation, and it solves the problems of huge volume of raw data, limitation of GPU memory and data transmission. The experimental results of point target and distributed target show that the speedup ratio of this algorithm reaches 209.93, which verifies the effectiveness of the proposed method.