TY - GEN
T1 - Three-Dimensional ISAR Imaging under Low SNR
AU - Liu, Shujiang
AU - Gao, Yongpeng
AU - Ding, Zegang
AU - Zhang, Tianyi
AU - Yang, Zhi
AU - Wang, Guanxing
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Obtaining the scatterer slant range and scatterer trajectory association are two crucial steps of 3-D target imaging from the inverse synthetic aperture radar (ISAR) image sequence or high resolution range profiles (HRRP) series. However, scatterers are drowned out by noise at low SNR so that the scatterer slant range cannot be obtained. In addition, the minimum Euclidean distance criterion is a common trajectory method, which will lead to wrong association results when the scatterer trajectory has crossings. To tackle above problems, a novel ISAR 3-D imaging method based on Generalized Radon-Fourier Transform (GRFT) is proposed. In this method, the slant range history of the scatterer is reconstructed based on GRFT without trajectory association. In addition, GRFT is a parameter estimation technique with robustness at low SNR. The 3-D image of the target is obtained using the factorization method. Simulation results prove the effectiveness of the proposed method.
AB - Obtaining the scatterer slant range and scatterer trajectory association are two crucial steps of 3-D target imaging from the inverse synthetic aperture radar (ISAR) image sequence or high resolution range profiles (HRRP) series. However, scatterers are drowned out by noise at low SNR so that the scatterer slant range cannot be obtained. In addition, the minimum Euclidean distance criterion is a common trajectory method, which will lead to wrong association results when the scatterer trajectory has crossings. To tackle above problems, a novel ISAR 3-D imaging method based on Generalized Radon-Fourier Transform (GRFT) is proposed. In this method, the slant range history of the scatterer is reconstructed based on GRFT without trajectory association. In addition, GRFT is a parameter estimation technique with robustness at low SNR. The 3-D image of the target is obtained using the factorization method. Simulation results prove the effectiveness of the proposed method.
KW - ISAR
KW - Radar 3-D imaging
KW - parameter estimation
UR - http://www.scopus.com/inward/record.url?scp=85149992967&partnerID=8YFLogxK
U2 - 10.1109/ICICSP55539.2022.10050646
DO - 10.1109/ICICSP55539.2022.10050646
M3 - Conference contribution
AN - SCOPUS:85149992967
T3 - 2022 5th International Conference on Information Communication and Signal Processing, ICICSP 2022
SP - 265
EP - 269
BT - 2022 5th International Conference on Information Communication and Signal Processing, ICICSP 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 5th International Conference on Information Communication and Signal Processing, ICICSP 2022
Y2 - 26 November 2022 through 28 November 2022
ER -