TY - GEN
T1 - High-resolution SAR signal simulation using parallel FDTD method
AU - Pan, Xin
AU - Kang, Lihong
AU - Zou, Bin
AU - Zhang, Ye
AU - Zhang, Lamei
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/11/4
Y1 - 2014/11/4
N2 - In this paper, a new high-precision electromagnetic scattering computing model, which is based on the parallel finite-difference time-domain (FDTD) method, is proposed to compute the SAR echo. Since the FDTD method can only compute radar return at a fixed azimuth angle once, several FDTD simulations should be combined so that a flight path can be simulated. The FDTD method suffers from low computation speed and large computation cost, thus a parallel FDTD model based on MPI library is built to overcome these shortcomings in this paper. The purpose of the computing model is how to use the parallel FDTD to get high-resolution SAR echoes rather than imaging techniques or electromagnetic propagation and scattering effects. Then the SAR echoes of some typical objects including tank and car are computing. To validate the correctness of the proposed model, SAR images derived from the computed radar echoes are given in this paper. To evaluate the performance of the proposed method, experiments are done with different number of threads and PCs. The results show that big improvement has been made in speedup and computational scale by the proposed model.
AB - In this paper, a new high-precision electromagnetic scattering computing model, which is based on the parallel finite-difference time-domain (FDTD) method, is proposed to compute the SAR echo. Since the FDTD method can only compute radar return at a fixed azimuth angle once, several FDTD simulations should be combined so that a flight path can be simulated. The FDTD method suffers from low computation speed and large computation cost, thus a parallel FDTD model based on MPI library is built to overcome these shortcomings in this paper. The purpose of the computing model is how to use the parallel FDTD to get high-resolution SAR echoes rather than imaging techniques or electromagnetic propagation and scattering effects. Then the SAR echoes of some typical objects including tank and car are computing. To validate the correctness of the proposed model, SAR images derived from the computed radar echoes are given in this paper. To evaluate the performance of the proposed method, experiments are done with different number of threads and PCs. The results show that big improvement has been made in speedup and computational scale by the proposed model.
KW - FDTD
KW - Parallel computing model
KW - SAR signal
UR - https://www.scopus.com/pages/publications/84911400044
U2 - 10.1109/IGARSS.2014.6946466
DO - 10.1109/IGARSS.2014.6946466
M3 - 会议稿件
AN - SCOPUS:84911400044
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - 490
EP - 493
BT - International Geoscience and Remote Sensing Symposium (IGARSS)
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - Joint 2014 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2014 and the 35th Canadian Symposium on Remote Sensing, CSRS 2014
Y2 - 13 July 2014 through 18 July 2014
ER -