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A parameter extraction algorithm for microwave filter based on adaptive interpolation fitting
Author(s) -
Wu Qiuyi,
Fan Chenhui,
Yu Kaiyao,
Shi Xiaowei
Publication year - 2019
Publication title -
international journal of rf and microwave computer‐aided engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.335
H-Index - 39
eISSN - 1099-047X
pISSN - 1096-4290
DOI - 10.1002/mmce.21815
Subject(s) - interpolation (computer graphics) , algorithm , computer science , multipath propagation , filter (signal processing) , adaptive sampling , interval (graph theory) , noise (video) , microwave , adaptive filter , process (computing) , sampling (signal processing) , extraction (chemistry) , matching (statistics) , mathematics , artificial intelligence , computer vision , statistics , motion (physics) , telecommunications , image (mathematics) , operating system , computer network , chemistry , chromatography , channel (broadcasting) , combinatorics , monte carlo method
This article proposes a parameter extraction algorithm based on adaptive interpolation fitting. By adaptively inserting interpolation points within a given interval, the number of the sampling points in the extraction process can be greatly reduced, which makes the calculation more efficient. Furthermore, the effect of noise can be eliminated with the multipath characteristic of the algorithm. The specific algorithm flow is given in detail. And two microwave filter design examples verified the feasibility and effectiveness of the proposed algorithm.