In recent years, sparsity-driven regularization and compressed sensing (CS)-based radar
imaging methods have attracted significant attention. This paper provides an introduction to …

Multiple-input multiple-output (MIMO) radar with sparse planar arrays is expected to provide
one snapshot imaging of complex motion targets at low hardware costs. In recent years …

It was recently shown that MIMO radars with sparse sensing and matrix completion (MC) can
significantly reduce the volume of data required by MIMO radars for accurate target detection …

We propose an innovative meteorological radar, which uses reduced number of
spatiotemporal samples without compromising the accuracy of target information. Our …

(57) ABSTRACT A distributed radar system, apparatus, architecture, and method is provided
for coherently combining physically distributed radars to jointly produce target scene …

A problem of broad interest is the detection and localization of a target or object from its
generated field. In this paper, a detection and localization strategy which exploits the …

The detection and localization of a target from samples of its generated field is a problem of
interest in a broad range of applications. Often, the target field admits structural properties …

A radar system, apparatus, architecture, and method are provided for generating a mono-
static virtual array aperture by using a radar control processing unit to construct a mono …

The paper proposes a matrix completion based colocated MIMO radar (MIMO-MC) approach
that employs transmit beamforming. The transmit antennas transmit correlated waveforms to …

Multi-input and multi-output (MIMO) radars achieve high resolution of arrival direction by
transmitting orthogonal waveforms, performing matched filtering at the receiver end and then …