Design of Antennas through Artificial Intelligence: State of the Art and Challenges
Sotirios K. Goudos, Panagiotis D. Diamantoulakis, M. A. Matin, Panagiotis Sarigiannidis, Shaohua Wan, George K. Karagiannidis
Abstract
The antenna is a critical part of the RF front end of a communication system. In this study, we present some of the major applications of artificial intelligence (AI) to antenna design. We review the previous research and applications of several AI techniques such as evolutionary algorithms, machine learning, and knowledge representation ontologies. Applications may vary from antenna design to antenna features evaluation in a research field, which is rapidly growing. Finally, we summarize the challenges of new AI techniques in antenna design based on the current state of the art and predict its future research directions.