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ISAR Autofocus Algorithms

ISAR Autofocus Algorithms

Abstract

Autofocus allows us to generate images with better quality by automatically adjusting the image focusing parameters. For radar imaging, autofocus means to automatically correct phase errors based on collected radar returns from targets. Inverse synthetic aperture radar (ISAR) motion compensation includes range alignment and phase adjustment. The phase adjustment process is for removing the residual translation error on phase terms. The phase errors are the causes of image defocusing. If a phase adjustment algorithm is based solely on the radar data itself, this is called the autofocus algorithm.ISAR autofocus methods can be parametric and nonparametric. Parametric method uses a parametric model of the radar-received signal. Image contrast-based autofocus (ICBA) and entropy-based autofocus algorithm belong to the parametric method . The prominent point processing (PPP) algorithm and the phase gradient autofocus (PGA) algorithm belong to the nonparametric ISAR autofocus method .

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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