当前高分辨率合成孔径雷达对成像算法以及计算能力都提出了巨大挑战,滑动聚束是实现高分辨率的一种重要模式,它能够同时兼顾高分辨率和方位向宽测绘带。在滑动聚束模式下,受轨道弯曲、调频率时变等影响,传统的频域成像算法的聚焦性能会下降,为突破这种局限性,该文采用BP(Back-Projection)算法进行精确成像,并针对BP算法O()的高计算复杂度提出了一种基于CPU/GPU异构计算平台的高效并行算法,充分利用了计算机的计算资源,提高了成像效率,其中调度线程的设计,也提高了成像的灵活性。
High-resolution synthetic aperture radar presents a significant challenge to imaging algorithms and computing power. Slide spotlight is an important mode that has both high resolution and wide azimuth swath.Generally, in the slide spotlight mode, the performance of conventional frequency domain imaging algorithms degrades because of orbit curvature, the time-variant azimuth chirp rate, and other factors. We adopt the Back-Projection(BP) algorithm in this study to counteract this limitation. We also propose a CPU/GPU heterogeneous BP algorithm to deal with the high computing complexity O() of the BP algorithm. This heterogeneous BP algorithm makes full use of computing resources and accelerates imaging progress, and the design of a scheduling thread improves the flexibility of the algorithm.