DocumentCode :
432070
Title :
Fast calculation of the gradient and the difference vector of IDT´s P matrix [SAW filter applications]
Author :
Martin, G.
Author_Institution :
Leibinz Inst. for Solid State & Mater. Res. Dresden, Germany
Volume :
1
fYear :
2004
fDate :
23-27 Aug. 2004
Firstpage :
98
Abstract :
The transduction. and reflection coefficients of SPUDTs are usually determined by optimization methods. Some methods need gradients or the difference vectors of IDT´s P matrix in order to calculate the corresponding quantities of the error function. The difference vector is defined by the change of the P matrix due to finitely large steps of the coefficients. When a gradient component is calculated numerically, solely one coefficient of solely one cell is changed. Nevertheless, the P matrices of all cells are calculated for the changed case, requiring unneeded computing time. The purpose of the present paper is to show that P matrix gradients can be attributed without differential approximation. Therefore, the method described is not only applicable for the calculation of gradients but also of difference vectors. The P matrix is transferred to stackable matrices and vectors. Solely the gradient component of the P matrix of the cell the coefficients of which are changed is calculated. By this method, the components of the difference vector can be obtained, too. The time for optimization can substantially be reduced.
Keywords :
acoustic wave reflection; gradient methods; interdigital transducers; optimisation; partial differential equations; surface acoustic wave filters; transfer function matrices; IDT P matrix gradient calculation; IDT cell reflection coefficients; P matrix difference vector; P matrix partial derivatives; SAW filters; SPUDT filters; SPUDT reflection coefficients; SPUDT transduction coefficients; error function; optimization; stackable matrices; transduction vectors; transfer matrices; Algorithm design and analysis; Chebyshev approximation; Design optimization; Gradient methods; Least squares approximation; Least squares methods; Optimization methods; Reflection; SAW filters; Solid state circuits;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Ultrasonics Symposium, 2004 IEEE
ISSN :
1051-0117
Print_ISBN :
0-7803-8412-1
Type :
conf
DOI :
10.1109/ULTSYM.2004.1417677
Filename :
1417677
Link To Document :
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