Title :
Large-signal physical modeling of active microwave devices using an adaptive real-coded genetic algorithm
Author :
Hussein, Yasser A. ; El-Ghazaly, Samir M.
Author_Institution :
Telecommun. Res. Center, Arizona State Univ., Tempe, AZ, USA
Abstract :
A novel large-signal physical modeling approach for active microwave devices using an adaptive genetic algorithm (GA) is presented. The proposed technique solves Poisson´s equation in a two-dimensional quasi-static full hydrodynamic large-signal physical model using a real-coded GA. The proposed technique is validated by simulating a submicrometer MESFET. The physical insight of the problem and being able to develop an accurate mathematical model were the keys to conceiving the new algorithm. The proposed algorithm is compared to different algorithms showing excellent accuracy as well as a reasonable speed of convergence. In addition, the effect of various GA parameters on the algorithm behavior is studied. This is a first step toward applying genetic algorithms to Maxwell´s equations in conjunction with the full hydrodynamic model for global modeling of active microwave devices with the aim of developing a robust and fast simulation approach.
Keywords :
Poisson equation; Schottky gate field effect transistors; genetic algorithms; hydrodynamics; microwave devices; microwave field effect transistors; semiconductor device models; MMIC; Maxwell equations; Poisson equation; active microwave devices; adaptive GA; adaptive genetic algorithm; full hydrodynamic model; large-signal physical modeling; monolithic microwave integrated circuits; real-coded GA; real-coded genetic algorithm; submicrometer MESFET; Biological cells; Circuit simulation; Electrodes; Genetic algorithms; Hydrodynamics; MESFETs; Maxwell equations; Microwave devices; Poisson equations; Robustness;
Conference_Titel :
Antennas and Propagation Society International Symposium, 2002. IEEE
Print_ISBN :
0-7803-7330-8
DOI :
10.1109/APS.2002.1016446