Obtaining accurate angle parameters using direction-of-arrival (DOA) estimation algorithms
is crucial for acquiring channel state information (CSI) in massive multiple-input multiple …

The time delay estimation (TDE) is an important and fundamental part in wireless
communication signal processing, which has been widely used in localization, intelligent …

The direction-of-arrival (DoA) estimation algorithms have a fundamental role in target
bearing estimation by sensor array systems. Recently, compressive sensing (CS)-based …

The problem of poor real-time capability, a large number of traversals and the long operation
time of the MUSIC algorithm bring great difficulties to the application of DOA estimation. For …

Automotive radar pursues low cost and high performance, and especially hopes to improve
the angular resolution under the condition of a limited number of multiple-input–multiple …

Direction of arrival (DOA) plays an essential role in wireless communications, which has
been widely utilized in localization and intelligent navigation. Recently, with explosive …

This article proposes a direction-of-arrival (DOA) estimation algorithm for a random sparse
linear array based on a novel graph neural network (GNN). Unlike convolutional layers and …

In practical applications, the hydrophone array has element position errors, which seriously
degrade the performance of the direction of arrival estimation. We propose a direction of …

Considering the utilization of the correlation between training data, this paper proposes a
graph neural network-based deep learning method for the direction of arrival (DOA) …

Aiming at the problem that the existing direction of arrival (DOA) estimation algorithms are
difficult to achieve high-precision estimation in environments with mixed Alpha-stable …