The limited accuracy of the navigation system leads to deviations between the real and
measured trajectories in airborne synthetic aperture radar (SAR) which results in residual …

Autofocus is an essential technique for airborne synthetic aperture radar (SAR) imaging to
correct phase errors mainly due to unexpected motion error. There are several well-known …

We present a new noniterative approach to synthetic aperture radar (SAR) autofocus,
termed the multichannel autofocus (MCA) algorithm. The key in the approach is to exploit the …

The improvement in azimuth resolution and/or the increase in the instantaneous beam width
can result in a wide-beam autofocus problem in airborne synthetic aperture radar (SAR) …

Recent development of compressive sensing has greatly benefited radar imaging problems.
In this paper, we investigate the problem of obtaining enhanced targets such as ships and …

Synthetic aperture radar (SAR) autofocus techniques that optimize sharpness metrics can
produce excellent restorations in comparison with conventional autofocus approaches. To …

Multichannel Autofocus (MCA) assumes that there exits a region of low return in the focused
image and solves for the correction filter that minimizes the energy in the presumed low …

Autofocus algorithms deal with image restoration in a nonideal synthetic aperture radar
(SAR) imaging system. We propose a novel autofocus algorithm, denoted as MLA, that is …

For synthetic aperture radar (SAR) imaging, the compressive sensing (CS) coupled with total
variation (TV)-based algorithm is known as an effective focusing technique using under …

The autofocus problem in synthetic aperture radar (SAR) is considered, where phase errors
in the acquired signal data result in imagery that is improperly focused. We present a new …