Skip to main content

Extraction of passive device model parameters using genetic algorithms

Publication ,  Journal Article
Yun, I; Carastro, LA; Poddar, R; Brooke, MA; May, GS; Hyun, KS; Pyun, KE
Published in: ETRI Journal
January 1, 2000

The extraction of model parameters for embedded passive components is crucial for designing and characterizing the performance of multichip module (MCM) substrates. In this paper, a method for optimizing the extraction of these parameters using genetic algorithms is presented. The results of this method are compared with optimization using the Levenberg-Marquardt (LM) algorithm used in the HSPICE circuit modeling tool. A set of integrated resistor structures are fabricated, and their scattering parameters are measured for a range of frequencies from 45 MHz to 5 GHz. Optimal equivalent circuit models for these structures are derived from the s-parameter measurements using each algorithm. Predicted s-parameters for the optimized equivalent circuit are then obtained from HSPICE. The difference between the measured and predicted s-parameters in the frequency range of interest is used as a measure of the accuracy of the two optimization algorithms. It is determined that the LM method is extremely dependent upon the initial starting point of the parameter search and is thus prone to become trapped in local minima. This drawback is alleviated and the accuracy of the parameter values obtained is improved using genetic algorithms.

Duke Scholars

Published In

ETRI Journal

DOI

ISSN

1225-6463

Publication Date

January 1, 2000

Volume

22

Issue

1

Start / End Page

38 / 46

Related Subject Headings

  • Networking & Telecommunications
  • 4009 Electronics, sensors and digital hardware
  • 4006 Communications engineering
  • 1005 Communications Technologies
  • 0906 Electrical and Electronic Engineering
  • 0806 Information Systems
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Yun, I., Carastro, L. A., Poddar, R., Brooke, M. A., May, G. S., Hyun, K. S., & Pyun, K. E. (2000). Extraction of passive device model parameters using genetic algorithms. ETRI Journal, 22(1), 38–46. https://doi.org/10.4218/etrij.00.0100.0105
Yun, I., L. A. Carastro, R. Poddar, M. A. Brooke, G. S. May, K. S. Hyun, and K. E. Pyun. “Extraction of passive device model parameters using genetic algorithms.” ETRI Journal 22, no. 1 (January 1, 2000): 38–46. https://doi.org/10.4218/etrij.00.0100.0105.
Yun I, Carastro LA, Poddar R, Brooke MA, May GS, Hyun KS, et al. Extraction of passive device model parameters using genetic algorithms. ETRI Journal. 2000 Jan 1;22(1):38–46.
Yun, I., et al. “Extraction of passive device model parameters using genetic algorithms.” ETRI Journal, vol. 22, no. 1, Jan. 2000, pp. 38–46. Scopus, doi:10.4218/etrij.00.0100.0105.
Yun I, Carastro LA, Poddar R, Brooke MA, May GS, Hyun KS, Pyun KE. Extraction of passive device model parameters using genetic algorithms. ETRI Journal. 2000 Jan 1;22(1):38–46.

Published In

ETRI Journal

DOI

ISSN

1225-6463

Publication Date

January 1, 2000

Volume

22

Issue

1

Start / End Page

38 / 46

Related Subject Headings

  • Networking & Telecommunications
  • 4009 Electronics, sensors and digital hardware
  • 4006 Communications engineering
  • 1005 Communications Technologies
  • 0906 Electrical and Electronic Engineering
  • 0806 Information Systems