Compressed sensing (CS) shows significant potential in the field of active millimeter-wave
(mmW) synthetic aperture radar (SAR) imaging due to the merits of reducing system …

The least absolute shrinkage and selection operator (LASSO) algorithm is a promising
method for sparse source location in time–division multiplexing (TDM) multiple–input …

Sparse recovery space-time adaptive processing (SR-STAP) can achieve an ideal clutter
suppression with very few training samples, however, its application faces two challenges …

With a small number of training range cells, sparse recovery (SR)-based space–time
adaptive processing (STAP) methods can help to suppress clutter and detect targets …

The global navigation satellite system (GNSS)-based passive radar shows potential for
permanent maritime surveillance. In this article, the GNSS signals are exploited for vessel …

Moving target indication (MTI) in bistatic synthetic aperture radar (BiSAR) is a promising task
in both civilian and military fields. However, it suffers severe challenges under the influence …

The low-earth-orbit synthetic aperture radar (SAR) can achieve enhanced remote-sensing
capabilities by exploiting the large-scale and long-duration beam coverage of a …

Synthetic aperture radar (SAR) imaging with sub-Nyquist sampled echo is a challenging
task. Compressed sensing (CS) has been widely applied in this case to reconstruct the …

Bistatic synthetic aperture radar (BiSAR) has received more and more attention because of
its forward-looking imaging capability and configuration flexibility. For BiSAR moving target …

In this paper, the problem of mainlobe deceptive jammer suppression is solved with the
frequency diversity array-multiple-input multiple-output (FDA-MIMO) radar system. At the …