TY - GEN
T1 - AN IMPROVED IMAGING METHOD FOR MOVING TARGET BASED ON GENERALIZED RADON-FOURIER TRANSFORM
AU - Gao, Yongpeng
AU - Ding, Zegang
AU - Zhang, Tianyi
AU - Lv, Shouye
AU - Li, Yingying
N1 - Publisher Copyright:
© 2021 IEEE
PY - 2021
Y1 - 2021
N2 - Traditional synthetic aperture radar (SAR) moving target imaging algorithms usually deal with the enlovpe and phase of the signal seperately, which is under a high signal-to-noise ratio (SNR) condition. In this paper, an improved imaging method for moving targets based on GRFT under low SNR is proposed, and the Doppler ambiguity and motion parameter estimation can be solved simultaneously. Computer simulations are conducted to validate the effectiveness of the proposed method.
AB - Traditional synthetic aperture radar (SAR) moving target imaging algorithms usually deal with the enlovpe and phase of the signal seperately, which is under a high signal-to-noise ratio (SNR) condition. In this paper, an improved imaging method for moving targets based on GRFT under low SNR is proposed, and the Doppler ambiguity and motion parameter estimation can be solved simultaneously. Computer simulations are conducted to validate the effectiveness of the proposed method.
KW - Synthetic aperture radar (SAR)
KW - generalized radon-Fourier transform (GRFT)
KW - parameter estimation
KW - radar imaging
UR - https://www.scopus.com/pages/publications/85129821044
U2 - 10.1109/IGARSS47720.2021.9554805
DO - 10.1109/IGARSS47720.2021.9554805
M3 - Conference contribution
AN - SCOPUS:85129821044
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - 824
EP - 827
BT - IGARSS 2021 - 2021 IEEE International Geoscience and Remote Sensing Symposium, Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021
Y2 - 12 July 2021 through 16 July 2021
ER -