TY - GEN
T1 - GPU-based bistatic ISAR real-time imaging
AU - Zhang, Chengyan
AU - Xie, Min
AU - Fu, Xiongjun
AU - Liu, Shiliang
AU - Wang, Wenqing
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/10/23
Y1 - 2015/10/23
N2 - 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 (CPU) provides a new solution for real-time imaging with large amounts of data processing. In this paper we use the efficient computing platform to make general purpose parallel computations by CPU, 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 CPU have significantly improvement compared with the traditional ISAR processors. Therefore, CPU can be widely used in monostatic and bistatic ISAR real-time imaging.
AB - 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 (CPU) provides a new solution for real-time imaging with large amounts of data processing. In this paper we use the efficient computing platform to make general purpose parallel computations by CPU, 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 CPU have significantly improvement compared with the traditional ISAR processors. Therefore, CPU can be widely used in monostatic and bistatic ISAR real-time imaging.
KW - CUDA
KW - ISAR real-time imaging
KW - general purpose parallel computations
KW - handling ability
KW - processing efficiency
UR - http://www.scopus.com/inward/record.url?scp=84957702869&partnerID=8YFLogxK
U2 - 10.1109/APSAR.2015.7306167
DO - 10.1109/APSAR.2015.7306167
M3 - Conference contribution
AN - SCOPUS:84957702869
T3 - Proceedings of the 2015 IEEE 5th Asia-Pacific Conference on Synthetic Aperture Radar, APSAR 2015
SP - 112
EP - 116
BT - Proceedings of the 2015 IEEE 5th Asia-Pacific Conference on Synthetic Aperture Radar, APSAR 2015
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 5th IEEE Asia-Pacific Conference on Synthetic Aperture Radar, APSAR 2015
Y2 - 1 September 2015 through 4 September 2015
ER -