Modeling and Optimization of Signals Using Machine Learning Techniques

5Machine Learning Methods in Radio Frequency and Microwave Domain

Shanthi P.¹ and Adish K.^2*

¹Department of Electronics and Telecommunication Engineering, Radio Frequency and Microwave Engineering, RV College of Engineering, Bengaluru, Karnataka, India

²Department of Electronics and Telecommunication Engineering, RV College of Engineering, Bengaluru, Karnataka, India

Abstract

Computing power has greatly increased in the previous few years due to rapid advancements in semiconductor technology. Machine learning (ML) methods have attracted a slew of new applications because of this significant boost to computing. Many researchers working on the design and optimization of electronic circuits are now shifting toward the ML-based approach to synthesize the circuits. These ML-based approaches have gained significant importance because of the aid they provide as they can be deployed at various levels, from design to modeling to testing of components. Complex or nonlinear problems can be easily and efficiently solved using the ML approach. Thus, it is much suited for the automation of radio frequency (RF) circuits where the input-output relation is complex. Furthermore, the employment of ML-based techniques in RF electronic design automation (EDA) tools boosts the performance of such tools. The chapter presents a comprehensive review on the recent research advancements and ML techniques used for the optimization of RF circuits.

Keywords: Machine learning, automation, RF circuit design ...