The refractive-lens technique has been well developed over a long period of evolution,
offering powerful imaging functionalities, such as microscopes, telescopes, and …

Several problems arising in electromagnetics can be directly formulated or suitably recast for
an effective solution within the compressive sensing (CS) framework. This has motivated a …

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 …

Integrated sensing and communication (ISAC) has opened up numerous game-changing
opportunities for realizing future wireless systems. In this paper, we propose an ISAC …

Achieving accurate and robust global situational awareness of a complex time-evolving field
from a limited number of sensors has been a long-standing challenge. This reconstruction …

Compressive sensing (CS) techniques offer a framework for the detection and allocation of
sparse signals with a reduced number of samples. Today, modern radar systems operate …

In recent years, compressed sensing (CS) has been applied in the field of synthetic aperture
radar (SAR) imaging and shows great potential. The existing models are, however, based …

We address the problem of resolving two closely spaced complex-valued points from N
irregular Fourier do-main samples. Although this is a generic super-resolution (SR) problem …

It is of significant importance to reconstruct the high-dimensional global flow field using
limited sensor data, considering that sensors are often local and limited in full-scale …

This paper provides principles and applications of the sparse microwave imaging theory and
technology. Synthetic aperture radar (SAR) is an important method of modern remote …