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Titolo: Optimization of the frequency characteristics in saw filter design
Autore: Park, KC; Kagawa, Y; Tsuchiya, T; Cho, KR;
 Indirizzi:
 Okayama Univ, Dept Elect & Elect Engn, Okayama, Japan Okayama Univ Okayama Japan niv, Dept Elect & Elect Engn, Okayama, Japan Yosu Univ, Dept Elect & Commun Engn, Yosu, South Korea Yosu Univ Yosu South Korea Dept Elect & Commun Engn, Yosu, South Korea
 Titolo Testata:
 INVERSE PROBLEMS IN ENGINEERING
fascicolo: 5,
volume: 8,
anno: 2000,
pagine: 473  493
 SICI:
 10682767(2000)8:5<473:OOTFCI>2.0.ZU;21
 Fonte:
 ISI
 Lingua:
 ENG
 Keywords:
 surface acoustic wave filter; optimum design; apodization; LeastMeanSquare method; DavidonFletcherPowell method; genetic algorithm;
 Tipo documento:
 Article
 Natura:
 Periodico
 Settore Disciplinare:
 Engineering, Computing & Technology
 Citazioni:
 11
 Recensione:
 Indirizzi per estratti:
 Indirizzo: Kagawa, Y Okayama Univ, Dept Elect & Elect Engn, Okayama, Japan Okayama Univ Okayama Japan Elect & Elect Engn, Okayama, Japan



 Citazione:
 K.C. Park et al., "Optimization of the frequency characteristics in saw filter design", INVERSE P E, 8(5), 2000, pp. 473493
Abstract
The transmission characteristics of surface acoustic wave (SAW) filters isconsidered. In the process of the design, the bandpass characteristics is requested to meet a specification in the process of the design. The apodization in the input interdigital transducer (IDT) is adopted to achieve the desired characteristics of the frequency bandwidth and the attenuation of the passband for the central frequency given. In the present paper, optimization procedures are discussed and some demonstrations are presented. The frequency characteristics of a SAW filter is characterized by the delta function modelling. The apodization is made by varying the length of each electrode with the input IDT. The objective function is defined as the error norm between the required frequency characteristics and the calculated one for the assumed length of each electrode. The calculation is repeated to minimize the objective function. Three optimization methods, the LeastMeanSquare(LMS) method, the DavidonFletcherPowell (DFP) method and the genetic algorithm (GA) are examined for this purpose. The paper demonstrates the capability and efficiency of the above three approaches for the SAW filter design with a couple of worked examples.
ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 09/04/20 alle ore 09:27:08