Recent advancements in Deep Learning (DL) for Direction of Arrival (DOA) estimation have
highlighted its superiority over traditional methods, offering faster inference, enhanced super …

Abstract Direction‐of‐arrival (DOA) estimation is a fundamental functionality of sensor array
systems. Previous methods only consider element failure or array imperfections. In fact, the …

Distorted sensors could occur randomly and may lead to the breakdown of a sensor array
system. In this article, we consider an array model within which a small number of sensors …

This paper investigates the challenging problem of direction-of-arrival (DOA) estimation in
impulsive noise and presents a fast iterative shrinkage-thresholding algorithm (FISTA) …

The performances of the angle estimation algorithms may be significantly deteriorated by the
missing samples caused by array element failures in bistatic multiple-input–multiple-output …

Single-snapshot signal processing in sparse linear arrays has become increasingly vital,
particularly in dynamic environments like automotive radar systems, where only limited …

Exploring the inherent multidimensional structures has great potential to obtain more latent
information for reconstructing the missing data resulting from array sensor failures in multiple …

Direction of arrival (DOA) estimation and source enumeration are crucial tasks in modern
array processing with a wide range of applications. For applying these tasks, sparse linear …

Kurzfassung Diese Dissertation beschreibt drei Ansätze zur Richtungsschätzung (DOA)
oder Beamforming in der Array-Signalverarbeitung aus der Perspektive der Sparsity. Im …