DocumentCode :
2348992
Title :
6D-3 Simplified Green Function Techniques for General SAW Device Analysis and Optimization
Author :
Peach, Robert C.
Author_Institution :
COM DEV, Cambridge, Ont.
fYear :
2006
fDate :
2-6 Oct. 2006
Firstpage :
371
Lastpage :
375
Abstract :
In recent years, the Green function, or boundary element (BEM), method has become the preferred technique for rigorous SAW device analysis. However, because of its computational cost, its principal application has been the analysis of mode propagation in periodic structures to determine parameters that can then be used in simplified coupling of modes (COM) or P-matrix models. This paper describes methods for approximate Green function analysis that can combine high accuracy with modest computational cost. Green function approximations are derived by a judicious choice of discrete modes to characterize the continuous mode spectrum, and by restricting the number of independent displacement components employed. The resulting procedure is efficient enough to be applied directly to the analysis and optimization of components such as LCRFs (longitudinally coupled resonator filters), using either leaky wave or surface wave modes
Keywords :
Green´s function methods; surface acoustic wave devices; COM model; Green function techniques; LCRFs; P-matrix model; SAW device analysis; SAW device optimization; continuous mode spectrum; coupling of modes model; discrete modes; leaky wave modes; longitudinally coupled resonator filters; mode propagation; surface wave modes; Computational efficiency; Function approximation; Green function; Independent component analysis; Lithium compounds; Maxwell equations; Piezoelectric materials; Surface acoustic wave devices; Surface acoustic waves; Surface waves;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Ultrasonics Symposium, 2006. IEEE
Conference_Location :
Vancouver, BC
ISSN :
1051-0117
Print_ISBN :
1-4244-0201-8
Electronic_ISBN :
1051-0117
Type :
conf
DOI :
10.1109/ULTSYM.2006.107
Filename :
4151963
Link To Document :
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