Remote sensing with radar is typically an ill-posed linear inverse problem: a scene is to be
inferred from limited measurements of scattered electric fields. Parsimonious models provide …

This paper reviews on the latest advances in microwave photonics applied to radar systems,
tracing the evolutions of functionalities in the photonic radar toward a new generation of …

Radar waveform diversity has received considerable attention in recent years due to
increasing spectral congestion and the burgeoning capabilities of digital waveform …

Compressive sensing (CS) theory indicates that the optimal reconstruction of an unknown
sparse signal can be achieved from limited noisy measurements by solving a sparsity-driven …

Radar pulse compression involves the extraction of an estimate of the range profile
illuminated by a radar in the presence of noise. A problem inherent to pulse compression is …

From the theory of compressive sensing (CS), we know that the exact recovery of an
unknown sparse signal can be achieved from limited measurements by solving a sparsity …

With regard to the multifunction radar transmitting sparse stepped-frequency-modulation
(SSFM) signal for inverse synthetic aperture radar (ISAR) imaging, the received echo signal …

Rapid developments in synthetic aperture (SA) systems, which generate a larger aperture
with greater angular resolution than is inherently possible from the physical dimensions of a …

A new class of signal processing algorithm based on CLEAN methods primary introduced in
radio-astronomy is presented in the paper. The classical radar signal processing is based …

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 …