A weighted eigenvector autofocus method for sparse-aperture ISAR imaging

Weighted least-squares estimation of phase errors for SAR/ISAR autofocus

A new method of phase error estimation that utilizes the weighted least-squares (WLS) algorithm is presented for synthetic aperture radar (SAR)/inverse SAR (ISAR) autofocus applications. The method does not require that the signal in each range bin be of a certain distribution model, and thus it is robust for many kinds of scene content. The most attractive attribute of the new method is that i...

Compressive Sensing Inverse Synthetic Aperture Radar Imaging Based on Gini Index Regularization

In compressive sensing (CS) based inverse synthetic aperture radar (ISAR) imaging approaches, the quality of final image significantly depends on the number of measurements and the noise level. In this paper, we propose an improved version of CSbased method for inverse synthetic aperture radar (ISAR) imaging. Different from the traditional l1 norm based CS ISAR imaging method, our method explor...

Autofocus for inverse synthetic aperture radar (ISAR) imaging

Sparse Aperture InISAR Imaging via Sequential Multiple Sparse Bayesian Learning

Interferometric inverse synthetic aperture radar (InISAR) imaging for sparse-aperture (SA) data is still a challenge, because the similarity and matched degree between ISAR images from different channels are destroyed by the SA data. To deal with this problem, this paper proposes a novel SA-InISAR imaging method, which jointly reconstructs 2-dimensional (2-D) ISAR images from different channels...

ISAR Imaging Based on Iterative Reweighted Lp Block Sparse Reconstruction Algorithm

Sparse signal recovery algorithms can be used to improve radar imaging quality by using the sparse property of strong scatterers. Traditional sparse inverse synthetic aperture radar (ISAR) imaging algorithms mainly consider the recovery of sparse scatterers. However, the scatterers of an ISAR target usually exhibit block or group sparse structure. By utilizing the inherent block sparse structur...