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 …

Simultaneous localization and mapping (SLAM) algorithm has enabled the automation of
mobile robots in unknown environments. It enables the robot to navigate through an …

Lacking of adaptation to various array imperfections is an open problem for most high-
precision direction-of-arrival (DOA) estimation methods. Machine learning-based methods …

In this letter, a deep learning framework for direction of arrival (DOA) estimation is
developed. We first show that the columns of the array covariance matrix can be formulated …

Unmanned aerial vehicle (UAV) contributes substantial strategic benefits on the Internet of
Military Things (IoMT). However, the untrusted party's misuse of the UAV may violate the …

For many object tracking systems, how to quickly and efficiently estimate the direction of
arrival (DOA) of radio waves impinging on the antenna array is an urgent task. In this paper …

The key objective of this paper is to explore the recent state-of-the-art artificial intelligence
(AI) applications on the broad field of beamforming. Hence, a multitude of AI-oriented …

Recently, deep neural network (DNN) studies on direction-of-arrival (DOA) estimations have
attracted more and more attention. This new method gives an alternative way to deal with …

Obtaining angle-of-arrival (AOA) information is of great significance to improve the
performance of communication systems. Real-time AOA recognition can reduce the …

Ground-penetrating radar (GPR) is a common technique for evaluating the structure and
quality of civil engineering materials. The ever-increasing demand for higher GPR time …