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 …

Compressive sensing (CS) has received much attention in several fields such as digital
image processing, wireless channel estimation, radar imaging, and cognitive radio (CR) …

Large-scale MIMO systems are well known for their advantages in communications, but they
also have the potential for providing very accurate localization, thanks to their high angular …

Abstract Direction-of-arrival (DOA) estimation refers to the process of retrieving the direction
information of several electromagnetic waves/sources from the outputs of a number of …

The mathematical theory of super-resolution developed recently by Candès and Fernandes-
Granda states that a continuous, sparse frequency spectrum can be recovered with infinite …

Frequency recovery/estimation from discrete samples of superimposed sinusoidal signals is
a classic yet important problem in statistical signal processing. Its research has recently …

Direction of arrival (DOA) estimation in array processing using uniform/sparse linear arrays
is concerned in this paper. While sparse methods via approximate parameter discretization …

The signal processing community is currently witnessing the emergence of sensor array
processing and direction-of-arrival (DoA) estimation in various modern applications, such as …

The inherent limitation of the predefined spatial discrete grids greatly restricts the precision
and feasibility of many sparse signal representation (SSR)-based direction-of-arrival (DOA) …

The problem of direction of arrival (DOA) estimation has been studied for decades as an
essential technology in enabling radar, wireless communications, and array signal …