CAJ | 학술논문

逆合成孔径雷达(inverse synthetic aperture radar,ISAR)是一种具有很高的成像分辨率的雷达,其成像过程是一项大数据量的高密度计算的处理任务。图形处理器(GPU)具有数十倍于CPU的浮点计算能力以及传输带宽,而CUDA 技术的发展使得多线程、单指令的 GPU 架构能够方便快速地进行并行计算。提出了一种在 cuda 平台上用GPU进行非相参成像处理的高效方法,利用GPU 的并行特性,实现了成像处理过程的并行化,与一般GPU 处理方法相比,其处理速度可以达到实时成像的效果,运算速率明显提高。
역합성공경뢰체(inverse synthetic aperture radar,ISAR)시일충구유흔고적성상분변솔적뢰체,기성상과정시일항대수거량적고밀도계산적처리임무。도형처리기(GPU)구유수십배우CPU적부점계산능력이급전수대관,이CUDA 기술적발전사득다선정、단지령적 GPU 가구능구방편쾌속지진행병행계산。제출료일충재 cuda 평태상용GPU진행비상삼성상처리적고효방법,이용GPU 적병행특성,실현료성상처리과정적병행화,여일반GPU 처리방법상비,기처리속도가이체도실시성상적효과,운산속솔명현제고。
ISAR (Inverse Synthetic Aperture Radar inverse synthetic aperture radar)is a kind of high resolution imaging radar,the imaging process is a heavy task of processing the high density computing and a large amount of data. GPU has dozens of times the CPU floating-point computation capacity and transmission bandwidth.The development of CUDA technology makes the multi-threads,single instruction GPU architecture can quickly for parallel computing. This paper presents an efficient method of non coherent imaging using the parallel characteristic of GPU on the CUDA platform and realizes the parallel imaging processing.Compared with the general GPU processing method, the processing speed can achieve real-time imaging effect,and the operation rate is obviously improved.