Abstract
This paper presents an intelligent alignment method for the automatic tuning device of microwave filters. In the method, a model that reveals the relationships between the tunable screws and filter electrical performance is firstly developed by using an improved machine learning algorithm which can incorporate multi-kernel into the traditional linear programming support vector regression to improve the modeling accuracy. Then, a tuning procedure of filters is constructed by using the developed machine-learning model. Finally, some experiments are carried out, and the experimental results confirm the effectiveness of the method. The approach is particularly suited to the computer-aided tuning devices or an automatic tuning robot of volume-producing filters.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
