TY - JOUR
T1 - Joint Amplitude-Phase Compensation for Ionospheric Scintillation in GEO SAR Imaging
AU - Wang, R.
AU - Hu, Cheng
AU - Li, Y.
AU - Hobbs, S. E.
AU - Tian, W.
AU - Dong, X.
AU - Chen, L.
N1 - Publisher Copyright:
© 1980-2012 IEEE.
PY - 2017/6
Y1 - 2017/6
N2 - The ionospheric scintillation induced by local ionospheric plasma anomalies could lead to significant degradation for geosynchronous earth orbit synthetic aperture radar (SAR) imaging. As radar signals pass through the ionosphere with locally variational plasma density, the signal amplitude and phase fluctuations are induced, which principally affect the azimuthal pulse response function. In this paper, the compensation of signal amplitude and phase fluctuations is studied. First, space-variance problem of scintillation is addressed by image segmentation. Then, SPECAN imaging algorithm is adopted for each image segment, because it is computationally efficient for small imaging scene. Furthermore, an iterative algorithm based on entropy minimum is derived to jointly compensate the signal amplitude and phase fluctuations. Finally, a real SAR scene simulation is used to validate our proposed method, where both the simulated scintillation using phase screen technique and the real GPS-derived scintillation data are adopted to degrade the imaging quality.
AB - The ionospheric scintillation induced by local ionospheric plasma anomalies could lead to significant degradation for geosynchronous earth orbit synthetic aperture radar (SAR) imaging. As radar signals pass through the ionosphere with locally variational plasma density, the signal amplitude and phase fluctuations are induced, which principally affect the azimuthal pulse response function. In this paper, the compensation of signal amplitude and phase fluctuations is studied. First, space-variance problem of scintillation is addressed by image segmentation. Then, SPECAN imaging algorithm is adopted for each image segment, because it is computationally efficient for small imaging scene. Furthermore, an iterative algorithm based on entropy minimum is derived to jointly compensate the signal amplitude and phase fluctuations. Finally, a real SAR scene simulation is used to validate our proposed method, where both the simulated scintillation using phase screen technique and the real GPS-derived scintillation data are adopted to degrade the imaging quality.
KW - Amplitude and phase fluctuations
KW - autofocus
KW - entropy minimum
KW - geosynchronous earth orbit synthetic aperture radar (GEO SAR)
KW - ionosphere scintillation
UR - http://www.scopus.com/inward/record.url?scp=85015706747&partnerID=8YFLogxK
U2 - 10.1109/TGRS.2017.2672078
DO - 10.1109/TGRS.2017.2672078
M3 - Article
AN - SCOPUS:85015706747
SN - 0196-2892
VL - 55
SP - 3454
EP - 3465
JO - IEEE Transactions on Geoscience and Remote Sensing
JF - IEEE Transactions on Geoscience and Remote Sensing
IS - 6
M1 - 7876803
ER -