Architecture Exploration of a Backprojection Algorithm for Real-Time Video SAR

Sensors

Yunho Jung¹  Seokwon Lee¹  Myeongjin Lee¹  Wookyung Lee²  Inmo Ban² 

[1] Department of Smart Air Mobility, Korea Aerospace University, Goyang 10540, Korea;School of Electronics and Information Engineering, Korea Aerospace University, Goyang 10540, Korea;

关键词: synthetic aperture radar;    SAR;    video SAR;    backprojection;    sub-aperture processing;    overlapped aperture mode;   

DOI  :  10.3390/s21248258

来源: DOAJ

【 摘 要 】

This paper explores novel architectures for fast backprojection based video synthetic aperture radar (BP-VISAR) with multiple GPUs. The video SAR frame rate is analyzed for non-overlapped and overlapped aperture modes. For the parallelization of the backprojection process, a processing data unit is defined as the phase history data or range profile data from partial synthetic-apertures divided from the full resolution target data. Considering whether full-aperture processing is performed and range compression or backprojection are parallelized on a GPU basis, we propose six distinct architectures, each having a single-stream pipeline with a single GPU. The performance of these architectures is evaluated in both non-overlapped and overlapped modes. The efficiency of the BP-VISAR architecture with sub-aperture processing in the overlapped mode is accelerated further by filling the processing gap from the idling GPU resources with multi-stream based backprojection on multiple GPUs. The frame rate of the proposed BP-VISAR architecture with sub-aperture processing is scalable with the number of GPU devices for large pixel resolution. It can generate 4096 × 4096 video SAR frames of 0.5 m cross-range resolution in 23.0 Hz on a single GPU and 73.5 Hz on quad GPUs.

【 授权许可】

Unknown