Growth Profile of Using AI Techniques in Antenna Research Over Three Decades

Abstract

Artificial Intelligence has emerged as one of the very highly researched areas in recent times. The antenna research community has been exploring AI techniques for the design and development of various types of antennas for communication, radar, aerospace, and other applications for several years. This research has gained large significance in the last few decades due to the emergence of many wireless devices used in communications and computing systems, health monitoring systems, remotely operated robotic systems, and strategic systems including those used for Radar and Electronic warfare. The recent growth of interest in 5G, MIMO, IoT, and RF ID devices has also been a stimulant for adapting AI techniques for novel antenna designs. The present study reviews about 6000 documents over the period 1991–2020 to look at the growth profile of Antenna research in relation to various Artificial Intelligence techniques. The paper provides a landscape view of use of the AI techniques in antenna research and identifies research themes and trends, Knowledge Gaps, and Linkages between the different techniques. The study will be useful for new researchers to help plan their research activity, for experienced antenna engineers to trace the growth profile of antenna research related to different AI techniques, and for other researchers to trace AI applications in different technologies.