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An efficient adaptive frequency sampling algorithm for model‐based parameter estimation as applied to aggressive space mapping
Author(s) -
Lehmensiek Robert,
Meyer Petrie
Publication year - 2000
Publication title -
microwave and optical technology letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.304
H-Index - 76
eISSN - 1098-2760
pISSN - 0895-2477
DOI - 10.1002/(sici)1098-2760(20000105)24:1<71::aid-mop20>3.0.co;2-o
Subject(s) - space mapping , classification of discontinuities , sampling (signal processing) , algorithm , capacitive sensing , adaptive sampling , filter (signal processing) , space (punctuation) , microwave , computer science , electronic engineering , mathematics , engineering , telecommunications , computer vision , monte carlo method , operating system , mathematical analysis , statistics
A fast and efficient adaptive sampling algorithm is presented. This algorithm is applied to the aggressive space mapping technique to minimize the number and to automate the selection of frequency sample points of the fine model, thus improving the efficiency of space mapping. The new technique is applied to the design of a low‐pass compact rectangular waveguide filter with capacitive step discontinuities. © 2000 John Wiley & Sons, Inc. Microwave Opt Technol Lett 24: 71–78, 2000.