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Automated Microwave Filter Tuning Using Curve Similarity and Weighted Least Squares

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4 Author(s)
Changsoo Kwak ; Dept. of Electr. Eng., Korea Adv. Inst. of Sci. & Technol. (KAIST), Daejeon, South Korea ; Manseok Uhm ; Inbok Yom ; Hyo Joon Eom

This letter presents an automated microwave filter tuning algorithm that emulates manual tuning. Measured S-parameter curve's shape similarity and value similarity with a target one are utilized for coarse tuning. A sensitivity matrix of S-parameter curve's feature points and a weighted least squares method are used for fine tuning. The utility of algorithm is demonstrated with an X-band four-pole dual-mode cavity filter.

Published in:

IEEE Microwave and Wireless Components Letters  (Volume:22 ,  Issue: 10 )