Compressed sensing (CS) is an emerging field that has attracted considerable research
interest over the past few years. Previous review articles in CS limit their scope to standard …

We study compressive sensing in the spatial domain to achieve target localization,
specifically direction of arrival (DOA), using multiple-input multiple-output (MIMO) radar. A …

We introduce Xampling, a unified framework for signal acquisition and processing of signals
in a union of subspaces. The main functions of this framework are two: Analog compression …

In this article, we review sampling strategies that target reduction of the ADC rate below
Nyquist. Our survey covers classic works from the early 1950s through recent publications …

We investigate the problem of a monostatic pulse-Doppler radar transceiver trying to detect
targets sparsely populated in the radar's unambiguous time-frequency region. Several past …

We consider minimal-rate sampling schemes for infinite streams of delayed and weighted
versions of a known pulse shape. The minimal sampling rate for these parametric signals is …

Classical sampling is based on acquiring signal amplitudes at specific points in time, with
the minimal sampling rate dictated by the degrees of freedom in the signal. The samplers in …

Traditional radar sensing typically employs matched filtering between the received signal
and the shape of the transmitted pulse. Matched filtering (MF) is conventionally carried out …

In this paper, we study the identification of a time-varying linear system from its response to a
known input signal. More specifically, we consider systems whose response to the input …

Radar is an acronym for" radio detection and ranging." However, the functions of today's
radar systems, both in civilian and military applications, go beyond simple target detection …