基于GPU的海面场景SAR回波仿真

摘要

通过计算机仿真海平面场景SAR回波间接得到SAR图像是当前SAR领域的研究热点.传统的基于CPU的仿真算法难以满足大场景,高实时性的海面回波生成需求,针对于此,提出了一种基于GPU的高性能海面场景SAR回波仿真方法.该方法采用基于时序的海面场景回波仿真模型,并且结合GPU通用计算平台,将算法的核心部分移植到GPU上进行并行计算.实验结果表明,该方法与传统算法相比在效率上有显著的提升,而且仿真得到的回波可以为后续的研究提供准确的仿真数据.%Obtaining SAR images indirectly from SAR raw signal simulation of ocean scene has been a popular topic of current SAR researches. The traditional CPU based simulation algorithm is difficult to meet the need of large scene, real-time raw signal generation. In this paper, a high-efficiency SAR simulation for ocean raw signal generation, based on Graphic Processing Unit, is presented. The simulation procedure utilize the raw signal simulation of ocean scene model in real time, and combine the algorithm with GPU general purpose computing platform by transferring the key part of the algonthm to GPU. The experimental results show that this algoriLhm has significant perfonnance improvement compared with the traditional algorithms. In addition, the generated raw signal can provide accurate simulation data for further researches.