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Performance analysis of phase gradient autofocus for compensating ionospheric phase scintillation in BIOMASS P-band SAR data

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Performance analysis of phase gradient autofocus for compensating ionospheric phase scintillation in BIOMASS P-band SAR data. / Li, Zhuo; Quegan, Shaun; Chen, Jie; Rogers, Neil.

In: IEEE Geoscience and Remote Sensing Letters, Vol. 12, No. 6, 06.2015, p. 1367-1371.

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Li, Zhuo ; Quegan, Shaun ; Chen, Jie ; Rogers, Neil. / Performance analysis of phase gradient autofocus for compensating ionospheric phase scintillation in BIOMASS P-band SAR data. In: IEEE Geoscience and Remote Sensing Letters. 2015 ; Vol. 12, No. 6. pp. 1367-1371.

Bibtex

@article{3dbc6a326ad748f2829cb885c2054ebe,
title = "Performance analysis of phase gradient autofocus for compensating ionospheric phase scintillation in BIOMASS P-band SAR data",
abstract = "The P-band synthetic aperture radar of the European Space Agency BIOMASS mission will be affected by ionospheric phase scintillation at high latitudes, which introduces a random high-order azimuth phase error. The dependence of the performance of the phase gradient autofocus (PGA) algorithm for scintillation compensation on the strength of ionospheric turbulence and the signal-to-clutter ratio (SCR) is analyzed. In order to keep resolution degradation below 2%, the SCR must exceed 16 and 20 dB for turbulence strengths CkL = 1033 and 1034, respectively. For large values of CkL, phase scintillation adds significantly to post-PGA degradation in the integrated and peak sidelobe ratios. Simulations based on scenes derived from PALSAR data demonstrate the effectiveness of PGA.",
keywords = "Image quality, ionospheric phase scintillation, phase gradient autofocus (PGA), synthetic aperture radar (SAR)",
author = "Zhuo Li and Shaun Quegan and Jie Chen and Neil Rogers",
year = "2015",
month = jun,
doi = "10.1109/LGRS.2015.2402833",
language = "English",
volume = "12",
pages = "1367--1371",
journal = "IEEE Geoscience and Remote Sensing Letters",
issn = "1545-598X",
publisher = "IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC",
number = "6",

}

RIS

TY - JOUR

T1 - Performance analysis of phase gradient autofocus for compensating ionospheric phase scintillation in BIOMASS P-band SAR data

AU - Li, Zhuo

AU - Quegan, Shaun

AU - Chen, Jie

AU - Rogers, Neil

PY - 2015/6

Y1 - 2015/6

N2 - The P-band synthetic aperture radar of the European Space Agency BIOMASS mission will be affected by ionospheric phase scintillation at high latitudes, which introduces a random high-order azimuth phase error. The dependence of the performance of the phase gradient autofocus (PGA) algorithm for scintillation compensation on the strength of ionospheric turbulence and the signal-to-clutter ratio (SCR) is analyzed. In order to keep resolution degradation below 2%, the SCR must exceed 16 and 20 dB for turbulence strengths CkL = 1033 and 1034, respectively. For large values of CkL, phase scintillation adds significantly to post-PGA degradation in the integrated and peak sidelobe ratios. Simulations based on scenes derived from PALSAR data demonstrate the effectiveness of PGA.

AB - The P-band synthetic aperture radar of the European Space Agency BIOMASS mission will be affected by ionospheric phase scintillation at high latitudes, which introduces a random high-order azimuth phase error. The dependence of the performance of the phase gradient autofocus (PGA) algorithm for scintillation compensation on the strength of ionospheric turbulence and the signal-to-clutter ratio (SCR) is analyzed. In order to keep resolution degradation below 2%, the SCR must exceed 16 and 20 dB for turbulence strengths CkL = 1033 and 1034, respectively. For large values of CkL, phase scintillation adds significantly to post-PGA degradation in the integrated and peak sidelobe ratios. Simulations based on scenes derived from PALSAR data demonstrate the effectiveness of PGA.

KW - Image quality

KW - ionospheric phase scintillation

KW - phase gradient autofocus (PGA)

KW - synthetic aperture radar (SAR)

U2 - 10.1109/LGRS.2015.2402833

DO - 10.1109/LGRS.2015.2402833

M3 - Journal article

VL - 12

SP - 1367

EP - 1371

JO - IEEE Geoscience and Remote Sensing Letters

JF - IEEE Geoscience and Remote Sensing Letters

SN - 1545-598X

IS - 6

ER -