Inverse synthetic aperture radar (ISAR) imaging for the sparse aperture data is affected by
considerable artifacts, because under-sampling of data produces high-level grating and side …

In radar applications, different micromotion forms can be used as the basis of target
recognition. However, the radar echo signal of multiple spatial targets is overlapping in the …

Sparse Bayesian learning (SBL) has found successful applications in interferometric inverse
synthetic aperture radar (InISAR) imaging, especially in the presence of limited number of …

Restricted by the ill-posed antenna measurement matrix, the conventional smoothed L 0
norm algorithm (SL0) fails to enable direct real aperture radar angular super-resolution …

Compressive sensing (CS) has been successfully applied to sparse aperture (SA)
interferometric inverse synthetic aperture radar (InISAR) imaging, which outperforms …

Generalisation of one‐dimensional dictionary learning (1DDL) algorithms to
Multidimensional (MD) mode and its utilisation in MD data applications, increases the speed …

By generalising dictionary learning (DL) algorithms to multidimensional (MD) mode and
using them in applications where signals are inherently multidimensional, such as in three …

Sparse aperture inverse synthetic aperture radar (ISAR) imaging has been applied on both
civil and military fields for its ability of achieving high resolution radar image of the moving …