Data-Driven Approaches-Based Microwave Filter Tuning—A Review

The process of post-production tuning of microwave (MW) filters is imperative to meet the desired frequency requirements. Currently, this intricate task is carried out by the expert technicians who possess the necessary training and expertise to manually tune these filters. A rapid surge in communication requirements due to an increased number of users in the last 25 years posed a need to automate the filter tuning process. Current research endeavors to comprehensively investigate the research studies conducted in the domain of data-driven microwave filter tuning. The data-driven methods rely on historical or experimental data to build the complex models, thus, has attracted the researchers engaged in the advancement of data-driven techniques for tuning the microwave filters. With the aim to meticulously examine and synthesize the various approaches, methodologies, and findings proposed by the researchers in this field, this research undertaking aspires to serve as a pivotal reference for scholars, engineers, and practitioners trying to automate the filter tuning process using state-of-the-art data-driven techniques.