TY - GEN
T1 - Unambiguous SAR imaging from non-uniform sampling with simple fractional Fourier transform
AU - Zhao, Juan
AU - Bai, Xia
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/11/4
Y1 - 2014/11/4
N2 - The displaced phase centre multiple azimuth beams (DPC-MAB) synthetic aperture radar (SAR) can realize wide swath imaging with high azimuth resolution, but it has strict requirement on the pulse repetition frequency (PRF). When actual PRF deviates from the ideal PRF, non-uniform azimuth sampling will arise and then seriously interfere with SAR imaging. This paper proposes a novel reconstruction method associated with the simple fractional Fourier transform, which can enable unambiguous SAR imaging in the case of non-uniform azimuth sampling. Compared with the traditional spectrum reconstruction method, the proposed method has better performance and can realize unambiguous SAR imaging even in the case of undersampling. Experiments with simulated and real data verify the efficiency of the proposed method.
AB - The displaced phase centre multiple azimuth beams (DPC-MAB) synthetic aperture radar (SAR) can realize wide swath imaging with high azimuth resolution, but it has strict requirement on the pulse repetition frequency (PRF). When actual PRF deviates from the ideal PRF, non-uniform azimuth sampling will arise and then seriously interfere with SAR imaging. This paper proposes a novel reconstruction method associated with the simple fractional Fourier transform, which can enable unambiguous SAR imaging in the case of non-uniform azimuth sampling. Compared with the traditional spectrum reconstruction method, the proposed method has better performance and can realize unambiguous SAR imaging even in the case of undersampling. Experiments with simulated and real data verify the efficiency of the proposed method.
KW - Synthetic aperture radar (SAR)
KW - displaced phase centre multiple azimuth beams (DPC-MAB)
KW - non-uniform sampling
KW - simple fractional Fourier transform
UR - http://www.scopus.com/inward/record.url?scp=84911367950&partnerID=8YFLogxK
U2 - 10.1109/IGARSS.2014.6946488
DO - 10.1109/IGARSS.2014.6946488
M3 - Conference contribution
AN - SCOPUS:84911367950
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - 576
EP - 579
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 -