Modeling and Optimization for Electromechanical Coupling of Cavity Filters Based on Support Vector Regression

A modeling and optimization method for electromechanical coupling of cavity filters is proposed to improve the electrical performance and yield rate of assembled filters. In the method, a coupling model that can reveal the effect of manufacturing precision on electrical performance of cavity filters is developed by an improved multi-kernel linear programming support vector regression, according to some data from the manufacturing process of filters. Then, the manufacturing precision is optimized by using the coupling model, and the optimal mechanical structure is obtained. Some experiments from a practical filter have been carried out, and the results confirm the effectiveness of the proposed approach. The approach is particularly suitable to the computer-aided manufacturing of volume-producing filters.