文件名称:Range-Dependent-Phase-Gradient-Autofocus
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The Phase Gradient Autofocus (PGA) algorithm
has been widely used in Spotlight Synthetic Aperture
Radar (SAR) to remove motion-induced blurs in the
images. The PGA algorithm has been proven to be a superior
autofocus method. PGA assumes a narrow beam,
which is valid for most SAR systems. However, lower altitude
SA& have large range dependencies that cannot be
ignored. A new phase estimator for PGA is introduced
and extended to allow range dependence. An ERS-1 image
of Death Valley is used in simulations comparing the
new estimator to the widely used maximum likelihood approach
and in demonstrating the range-dependent PGA
algorithm.
has been widely used in Spotlight Synthetic Aperture
Radar (SAR) to remove motion-induced blurs in the
images. The PGA algorithm has been proven to be a superior
autofocus method. PGA assumes a narrow beam,
which is valid for most SAR systems. However, lower altitude
SA& have large range dependencies that cannot be
ignored. A new phase estimator for PGA is introduced
and extended to allow range dependence. An ERS-1 image
of Death Valley is used in simulations comparing the
new estimator to the widely used maximum likelihood approach
and in demonstrating the range-dependent PGA
algorithm.
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Range Dependent Phase Gradient Autofocus.pdf
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