DocumentCode :
2597094
Title :
Application of genetic algorithms for estimation of impedance parameters of two-terminal networks
Author :
Janeiro, Fernando M. ; Ramos, Pedro M.
Author_Institution :
Univ. de Evora, Evora, Portugal
fYear :
2009
fDate :
5-7 May 2009
Firstpage :
602
Lastpage :
606
Abstract :
A new procedure to estimate the value of the individual components of a two-terminal impedance network is presented. It is based on the application of genetic algorithms to the spectral fitting of the impedances´ model. The expanded uncertainty of the estimated parameters is obtained through simulations and the algorithm is also applied to the measured frequency response of two impedance networks. Partial knowledge of spectral response is shown to be sufficient for the correct estimation of the individual component parameters.
Keywords :
electric impedance measurement; frequency measurement; frequency response; genetic algorithms; spectral analysis; frequency response algorithm; genetic algorithm application; impedance model spectral fitting; individual component parameter spectral estimation; two-terminal network impedance parameters; Cost function; Frequency estimation; Frequency measurement; Frequency response; Genetic algorithms; Impedance measurement; Instrumentation and measurement; Minimization; Parameter estimation; Telecommunications; Frequency response; Genetic algorithms; Impedance measurements;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Instrumentation and Measurement Technology Conference, 2009. I2MTC '09. IEEE
Conference_Location :
Singapore
ISSN :
1091-5281
Print_ISBN :
978-1-4244-3352-0
Type :
conf
DOI :
10.1109/IMTC.2009.5168521
Filename :
5168521
Link To Document :
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