Nonlinear sampling technique for microwave devices

This communication addresses the problem of any simulation tool: the accurate and efficient sampling of a physical observable with respect to a parameter. A popular sampling technique is the uniform sampling combined with a straight-line interpolation for representing the continuous variation of the observable. However, this sampling becomes rapidly inefficient if the observable varies strongly since a high-oversampling is necessary du e to Nyquist's theorem. An alternative is nonlinear sampling and nonlinear interpolation of the sampling points. Another reaso n why more efficient sampling techniques are needed is the optimization of devices using full-wave simulation tools where the reduction of sampling points is essential to accelerate the design of a component. This paper presents an algorithm that is ba sed on ideas coming from the model-based parameter estimation (MBPE) and the Genetic Algorithm (GA).

Published in:
Proc. Eucap2009, 3rd European Conference on Antennas and Propagation
Presented at:
Eucap2009, 3rd European Conference on Antennas and Propagation, Berlin, March 23-27, 2009
Invited paper

Note: The status of this file is: EPFL only

 Record created 2009-01-20, last modified 2018-03-17

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