An improved imaging method for moving target based on generalized radon-Fourier transform
Y Gao, Z Ding, T Zhang, S Lv… - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
Y Gao, Z Ding, T Zhang, S Lv, Y Li
2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2021•ieeexplore.ieee.orgTraditional 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.
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.
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.
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