Title of article :
GPGPU Accelerated Fast Convolution Back-Projection for Radar Image Reconstruction
Author/Authors :
ZHOU, Bin Tsinghua University - Department of Electronic Engineering, China , PENG, Yingning Tsinghua University - Department of Electronic Engineering, China , YEH, Chunmao Tsinghua University - Department of Electronic Engineering, China , TANG, Jun Tsinghua University - Department of Electronic Engineering, China
Abstract :
This paper describes a parallel fast convolution back-projection algorithm design for radar image reconstruction. State-of-the-art general purpose graphic processing units (GPGPU) were utilized to accelerate the processing. The implementation achieves much better performance than conventional processing systems, with a speedup of more than 890 times on NVIDIA Tesla C1060 supercomputing cards compared to an Intel P4 2.4 GHz CPU. 256×256 pixel images could be reconstructed within 6.3 s, which makes real-time imaging possible. Six platforms were tested and compared. The results show that the GPGPU super- computing system has great potential for radar image processing.
Keywords :
convolution back projection (CBP) , synthetic aperture radar (SAR) , inverse synthetic aperture radar (ISAR) , general purpose graphic processing units (GPGPU)
Journal title :
Tsinghua Science and Technology
Journal title :
Tsinghua Science and Technology
