Title :
Analyzing via impedance variations with a stochastic collation method
Author :
Shen, Jianxiang ; Wang, Hanfeng ; Chen, Ji ; Fan, Jun
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Houston, Houston, TX, USA
Abstract :
In this paper, we describe a systematic approach to optimize and analyze the equivalent characteristic impedance of practical via structures. The procedure consists of (a) optimizing via structures for impedance matching using a Genetic algorithm, and (b) numerically characterize, by stochastic collocation method, the sensitivity of the equivalent characteristic impedance to the manufacturing uncertainties in the various geometrical parameters of a via structure. Such procedure naturally leads to a rigorous methodology for EM design/control in the presence of multiple sources of uncertainty.
Keywords :
electromagnetic compatibility; genetic algorithms; impedance matching; stochastic processes; EM control; EM design; equivalent characteristic impedance; genetic algorithm; geometrical parameter; impedance matching; stochastic collation method; via impedance variation; via structure; Electromagnetics; Impedance; Integrated circuit modeling; Mathematical model; Monte Carlo methods; Optimization; Stochastic processes; numerical analysis; optimization; stochastic collocation method; via impedance;
Conference_Titel :
Electromagnetic Compatibility (EMC), 2010 IEEE International Symposium on
Conference_Location :
Fort Lauderdale, FL
Print_ISBN :
978-1-4244-6305-3
DOI :
10.1109/ISEMC.2010.5711336