Optimization Design of Fragment-Type Microstrip Filter Using Boundary-Based Filtering Operator

Abstract

A novel optimization design method using boundary-based weighted sum filtering operator is proposed for microstrip filter design. The proposed operator is combined with multiobjective evolutionary algorithm based on decomposition combined with enhanced genetic operators and two-dimensional median filtering operator (MOEA/D-GO-II), which can maintain the population diversity and obtain wider rejection bandwidth. For verification, it is used to design fragment-type microstrip band-stop filter for rejecting one of the fifth generation (5G) bands, 3.3GHz-3.6GHz. Both simulated and measured results verified the expected responses of the design. Comparison result shows that more alternative designs could be obtained using the proposed method.