Due to the great computation load and memory cost of the matrix-vector multiplication, the
sparse reconstruction algorithms are severely limited in the applications of radar imaging …

Using sparse signal processing to replace matched filtering (MF) in synthetic aperture radar
(SAR) imaging has shown significant potential to improve image quality. Due to the huge …

In recent years, the sparse signal processing technique has shown significant potential in
synthetic aperture radar (SAR) imaging, such as image performance improvement and …

Sparse representation (SR)-based SAR imaging approaches have shown their superior
performance compared with conventional approaches. However, for an image with rich …

Recently, the sparse reconstruction algorithms (SRAs) based on compressive sensing (CS)
have been applied in the fields of synthetic aperture radar (SAR) imaging and show plenty of …

A backprojection algorithm (BPA), a time domain synthetic aperture radar (SAR) imaging
algorithm, can be widely used without modification in various imaging modes, like stripmap …

Due to the substantial electromagnetic interference, radar interruptions, and other factors,
the SAR system may fail to receive valid data in some azimuth areas. This phenomenon is …

Synthetic aperture radar (SAR) is a widely used active high-resolution microwave imaging
technique that has alltime and all-weather reconnaissance ability. Compared with …

In order to solve the problem of SAR imaging with azimuth missing data, a novel missing
data SAR imaging algorithm is proposed in this paper. In the algorithm, the complete echo …

Sparse signal processing has already been introduced to synthetic aperture radar (SAR),
which shows potential in improving imaging performance based on raw data or a complex …