OPTIMIZATION OF RF AND MICROWAVE FILTERS USING ML TECHNIQUES

Abstract

Designing high-performance microwave and millimeter-wave filters presents a significant challenge due to the sensitivity of filter characteristics to variations in geometric dimensions and electrical sizes. Typically, filter design involves optimizing design variables, starting from initial values. However, if these initial values are too far from the optimal solution, optimization often fails to yield satisfactory results. To address this issue, this project analyzes current methods used in the optimization of microwave and millimeter-wave filters.