A review of the most recent advances in deep learning (DL) as applied to electromagnetics
(EM), antennas, and propagation is provided. It is aimed at giving the interested readers and …

Future wireless systems integrating communication and sensing will require handling an
enormous amount of data with extremely low latency. Intense video streaming data traffic …

In the practical radar with multiple antennas, the antenna imperfections degrade the system
performance. In this paper, the problem of estimating the direction of arrival (DOA) in a …

A metasurface (MTS)-based direction of arrival (DoA) estimation method is presented. The
method exploits the properties of space–time modulated reflective metasurfaces to estimate …

In this paper, we propose a deep neural network based model to predict the time evolution
of field values in transient electrodynamics. The key component of our model is a recurrent …

The main objective of this work is to improve and evaluate the effectiveness of the neural
network (NN) architecture in the domain of estimation of direction of arrival (DOA), with an …

In the new era of integrated computing with intelligent devices and system, moving aerial
targets can be tracked flexibly. The estimation performance of traditional matched filter …

In this article, we propose a multifunctional space–time-modulated metasurface (STM-MTS)
able to perform simultaneously a direction of arrival (DoA) estimation and radar cross …

This paper deals with joint adaptive radar detection and target bearing estimation in the
presence of mutual coupling among the array elements. First of all, a suitable model of the …

Compared with the traditional subspace-based methods, sparse signal recovery (SSR)
based methods have obvious advantages in performing the direction of arrival (DOA) …