TY - GEN
T1 - Radar target imaging using three-dimensional space Radon-Fourier transform
AU - Xu, Jia
AU - Teng, Long
AU - Liu, Feng
AU - Xia, Xiang Gen
AU - Wang, Yan Ping
AU - Peng, Shi Bao
AU - Peng, Ying Ning
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/3/12
Y1 - 2014/3/12
N2 - The radar target's reconstructed high-resolution images provide important features for target identification. Normally, the radar images are obtained with the cascaded steps of translational motion compensation (TMC), image reconstruction and rotation velocity (RV) retrieval for inverse synthetic aperture radar (ISAR). It is found in this paper that the high-resolution target's image can be obtained with a single step via the proposed three-dimensional space Radon-Fourier transform (3DS-RFT). Furthermore, the relationship is well discussed in this paper between the ISAR and 3DS-RFT as well as the 3D distribution of 3DS-RFT image. It is shown that the proposed 3DS-RFT may be a more generalized imaging approach of moving target. Besides, the fast implementation of 3DS-RFT is also provided based on particle swarm optimizer (PSO). Finally, the results of both the numerical experiments and real measuring data are provided to demonstrate the effectiveness of the proposed method.
AB - The radar target's reconstructed high-resolution images provide important features for target identification. Normally, the radar images are obtained with the cascaded steps of translational motion compensation (TMC), image reconstruction and rotation velocity (RV) retrieval for inverse synthetic aperture radar (ISAR). It is found in this paper that the high-resolution target's image can be obtained with a single step via the proposed three-dimensional space Radon-Fourier transform (3DS-RFT). Furthermore, the relationship is well discussed in this paper between the ISAR and 3DS-RFT as well as the 3D distribution of 3DS-RFT image. It is shown that the proposed 3DS-RFT may be a more generalized imaging approach of moving target. Besides, the fast implementation of 3DS-RFT is also provided based on particle swarm optimizer (PSO). Finally, the results of both the numerical experiments and real measuring data are provided to demonstrate the effectiveness of the proposed method.
KW - image reconstruction
KW - inverse synthetic aperture radar
KW - particle swarm optimizer (PSO)
KW - rotation velocity
KW - three-dimensional space Radon-Fourier transform
KW - translational motion compensation
UR - http://www.scopus.com/inward/record.url?scp=84946692136&partnerID=8YFLogxK
U2 - 10.1109/RADAR.2014.7060240
DO - 10.1109/RADAR.2014.7060240
M3 - Conference contribution
AN - SCOPUS:84946692136
T3 - 2014 International Radar Conference, Radar 2014
BT - 2014 International Radar Conference, Radar 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 International Radar Conference, Radar 2014
Y2 - 13 October 2014 through 17 October 2014
ER -