The estimation of the directions of arrival (DoAs) of narrow-band signals impinging on a
linear antenna array is addressed within the Bayesian compressive sensing (BCS) …

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 …

The possibility to recover in a careful and reliable way the directions of arrival (DoA) of
multiple narrow-band signals by processing the data collected in a single time snapshot at …

The detection of faulty radiators in planar antenna arrays is addressed in a probabilistic
framework and it is solved through an innovative multitask Bayesian compressive sensing …

Sparsening conformal arrangements is carried out through a versatile Multi-Task Bayesian
Compressive Sensing (MT-BCS) strategy. The problem, formulated in a probabilistic fashion …

An innovative array diagnosis technique based on a compressive-sensing (CS) paradigm is
introduced in the case of linear arrangements. Besides detecting the faulty elements, the …

A coprime array has a larger array aperture as well as increased degrees‐of‐freedom
(DOFs), compared with a uniform linear array with the same number of physical sensors …

Direction of arrival (DOA) estimation from the perspective of sparse signal representation
has attracted tremendous attention in past years, where the underlying spatial sparsity …

This work addresses the problem of direction-of-arrival (DOA) estimation of multiple sources
using short and dynamic sensor arrays. We propose to utilize compressive sensing (CS) …

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 …