GPU-based bistatic ISAR real-time imaging

Bistatic ISAR real-time imaging is a target information acquisition method with strong anti-jamming ability, which is of significant application value in moving targets identification and surveillance. The data quantity that bistatic ISAR real-time imaging needs to process is too big, and architecture of traditional ISAR imaging processors is difficult to meet the demands of bistatic ISAR real-time imaging. The appearance of new computing platform Compute Unified Device Architecture (CUDA) based on Graphics Processing Unit (GPU) provides a new solution for real-lime imaging with large amounts of data processing. In this paper we use the efficient computing platform to make general purpose parallel computations by GPU, to realize the bistatic ISAR real-time imaging for targets. Research results showed that due to its large numbers of computing units and continuously optimizing computing platform, the processing efficiency and performance of GPU have significantly improvement compared with the traditional ISAR processors. Therefore, GPU can be widely used in monostatic and bistatic ISAR real-time imaging.