There is a wide number of problems in electromagnetic (EM) engineering that require a real-
time response or in which the input–output relationship is not a-priori known or cannot be …

In this communication, we propose using modern machine learning (ML) techniques
including least absolute shrinkage and selection operator (lasso), artificial neural networks …

Machine learning (ML) has taken the world by a tornado with its prevalent applications in
automating ordinary tasks and using turbulent insights throughout scientific research and …

In this article, a compact Coplanar Waveguide (CPW) fed band-notched monopole antenna
is designed and optimized. The unique feature of this article is to provide an approach for …

When the elevation of target is smaller than a beamwidth, the complex multipath signals will
distort the feature of direct signal reflected from target. The elevation of target can hardly be …

Robust adaptive beamforming (RAB) plays a vital role in modern communications by
ensuring the reception of high-quality signals. This article proposes a deep learning …

With the wideband beamforming approaches, the synthetic aperture radar (SAR) could
achieve high azimuth resolution and wide swath. However, the performance of conventional …

Antenna arrays have been widely used for space and space–time processing to estimate the
desired signals in the presence of narrowband and wideband interferences. Estimating the …

Polarimetric phased array radar (PAR) can achieve high temporal resolutions for improved
meteorological observations with digital beamforming (DBF). The Fourier method performs …

A novel direction of arrival (DOA) estimation method is proposed for very high‐frequency
(VHF) radar by the deep neural network (DNN) under strong multipath effect and complex …