DocumentCode
3597486
Title
IPSO-based Parameter Identification of Semiconductor Devices
Author
Wang, Kaier ; Ye, Meiying
Author_Institution
Dept. of Phys., Zhejiang Normal Univ., Jinhua
fYear
2008
Firstpage
267
Lastpage
270
Abstract
An efficient and simple method of parameter identification for semiconductor devices is presented in this paper. The method is based on improved particle swarm optimization (IPSO), which can overcome some deficiencies of standard PSO. A typical semiconductor device, Schottky-barrier diode (SBD), has been used as an example for demonstration. The performance of the IPSO was compared with the standard PSO and the genetic algorithm (GA) that is commonly applied to solve parameter identification problems of semiconductor devices. The comparative results indicate that the IPSO method can obtain optimum solutions more easily than others.
Keywords
Schottky barriers; Schottky diodes; genetic algorithms; particle swarm optimisation; semiconductor device models; Schottky-barrier diode; genetic algorithm; improved particle swarm optimization; parameter identification; semiconductor device; Genetic algorithms; Integrated circuit modeling; Low voltage; Optimization methods; Parameter estimation; Particle swarm optimization; Physics; Schottky diodes; Semiconductor devices; Semiconductor diodes; genetic algorithm; improved particle swarm optimization; parameter identification; semiconductor device;
fLanguage
English
Publisher
ieee
Conference_Titel
Knowledge Acquisition and Modeling Workshop, 2008. KAM Workshop 2008. IEEE International Symposium on
Print_ISBN
978-1-4244-3530-2
Electronic_ISBN
978-1-4244-3531-9
Type
conf
DOI
10.1109/KAMW.2008.4810477
Filename
4810477
Link To Document