Synthetic aperture radar (SAR) image formation can be treated as a class of ill-posed linear
inverse problems, and the resolution is limited by the data bandwidth for traditional imaging …

Radar can obtain high spatial resolution at large operating distances, and its operation is
largely independent from weather and lighting conditions. This makes it an important …

Automotive targets undergoing turns in road junctions offer large synthetic apertures over
short dwell times to automotive radars that can be exploited for obtaining fine cross-range …

A deep-learning architecture, dubbed as the 2D-ADMM-Net (2D-ADN), is proposed in this
article. It provides effective high-resolution 2D inverse synthetic aperture radar (ISAR) …

Micro-motion parameter estimation is a significant part in feature extraction of non
cooperative targets, and precession is the common micro-motion form of space targets …

Sparse Bayesian learning (SBL) is a popular and robust algorithm for sparse signal
reconstruction (SSR). Unfortunately, the SBL algorithm suffers from heavy computational …

Under high sea state, ship targets make complex maneuvering motions due to strong
disturbances such as sea waves and sea winds. Selecting the optimal imaging time interval …

Traditionally, when multiple targets appear within the radar beam at the same time, the
range profiles of different targets are coupled together, the existing algorithms usually image …

As a key object on the ocean, regulating civilian and military ship targets more effectively is a
very important part of maintaining maritime security. One of the ways to obtain high …

The high orbit height leads to the ultralow signal-to-noise ratio (ULSNR) of geosynchronous
(GEO) targets, so it is necessary to increase the coherent processing interval (CPI) to …