TY - GEN
T1 - Parallel Accelerated SAR Image Simulation Based on High Frequency Approximation Techniques
AU - Chen, Yifan
AU - Zhang, Lamei
AU - Zou, Bin
AU - Miao, Wuxia
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - The simulation of Synthetic Aperture Radar (SAR) image is of great significance to the analysis and interpretation of target scattering characteristics. High frequency approximation techniques combined with ray tracing is a very suitable method for SAR image simulation. Compared with the numerical methods, they can calculate the scattered field of electrically large targets in a short period of time. However, both the ray tracing process and SAR's unique pulse accumulation process result in a very long calculation time. Using CPU+GPU parallel computing technology, a SAR image acceleration simulation algorithm based on high frequency approximation techniques is designed in this paper. Both CPU and GPU parallel computing techniques are used to accelerate the time-consuming process of SAR simulation. The experimental results show that the simulated SAR image can be obtained in a shorter time by parallel acceleration of CPU+GPU.
AB - The simulation of Synthetic Aperture Radar (SAR) image is of great significance to the analysis and interpretation of target scattering characteristics. High frequency approximation techniques combined with ray tracing is a very suitable method for SAR image simulation. Compared with the numerical methods, they can calculate the scattered field of electrically large targets in a short period of time. However, both the ray tracing process and SAR's unique pulse accumulation process result in a very long calculation time. Using CPU+GPU parallel computing technology, a SAR image acceleration simulation algorithm based on high frequency approximation techniques is designed in this paper. Both CPU and GPU parallel computing techniques are used to accelerate the time-consuming process of SAR simulation. The experimental results show that the simulated SAR image can be obtained in a shorter time by parallel acceleration of CPU+GPU.
UR - https://www.scopus.com/pages/publications/85207094726
U2 - 10.1109/AP-S/INC-USNC-URSI52054.2024.10686542
DO - 10.1109/AP-S/INC-USNC-URSI52054.2024.10686542
M3 - 会议稿件
AN - SCOPUS:85207094726
T3 - IEEE Antennas and Propagation Society, AP-S International Symposium (Digest)
SP - 2525
EP - 2526
BT - 2024 IEEE International Symposium on Antennas and Propagation and INC/USNCURSI Radio Science Meeting, AP-S/INC-USNC-URSI 2024 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2024 IEEE International Symposium on Antennas and Propagation and INC/USNCURSI Radio Science Meeting, AP-S/INC-USNC-URSI 2024
Y2 - 14 July 2024 through 19 July 2024
ER -