Low-cost dimension scaling and tuning of microwave filters using response features

Abstract

In this paper, a low-cost procedure for dimension scaling and tuning of microwave filters is proposed. Our approach relies on an inverse model that outputs the filter dimensions for the required center frequency and bandwidth. The model is constructed using several reference designs obtained using surrogate-assisted optimization exploiting a response feature methodology. The initial approximation of the scaled filter design is subsequently corrected using a fast feature-based tuning procedure. The proposed methodology is demonstrated using a fifth-order Chebyshev bandpass filter for the tuning range of 10 GHz to 12 GHz (center frequency) and 6 % to 12 % (relative bandwidth).