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, 3.3 GHz–3.6 GHz. 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.