An support vector regression based nonlinear modeling method for SiC MESFET

Progress in Electromagnetics Research Letters

Volumn 2, Issue , 2008, Pages 103-114

  Xu, Y ^a   Guo, Y ^a   Xu, R ^a   Xia, L ^a   Wu, Y ^a  

^a UNIVERSITY OF ELECTRONIC SCIENCE AND TECHNOLOGY OF CHINA   (China)

Author keywords

[No Author keywords available]

Indexed keywords

MESFET DEVICES; NONLINEAR SYSTEMS; RECONFIGURABLE HARDWARE; REGRESSION ANALYSIS; SILICON CARBIDE; SUPPORT VECTOR MACHINES; TAYLOR SERIES;

EQUIVALENT CIRCUIT MODEL; NON-LINEAR MODEL; NONLINEAR CIRCUIT; NONLINEAR DEVICE MODELING; SIC MESFET; SUPPORT VECTOR MACHINE REGRESSIONS; SUPPORT VECTOR REGRESSION (SVR); TAYLOR SERIES EXPANSIONS;

EQUIVALENT CIRCUITS;

EID: 84991388067     PISSN: 19376480     EISSN: None     Source Type: Journal    
DOI: 10.2528/PIERL07122102     Document Type: Article

References (16)

1. Charles, E. W., “Comparison of SiC, GaAs, and Si RF MESFET power densities,” IEEE Transaction on Electron Device Letters, Vol. 16, 451-453, 1995.
2. Xu, Y., “Large-signal modeling of SiC MESFETs,” Master dissertation, University of Electronic Science and Technology of China, 2007.
3. Zhang, Q. J., K. C. Gupta, and V. K. Devabhaktuni, “Artificial neural networks for RF and microwave design-from theory to practice,” IEEE Transactions Microwave Theory and Techniques, Vol. 51, 1339-1350, 2003.
4. Xia, L., R. Xu, and B. Yan, “LTCC interconnect modeling by support vector regression,” Progress In Electromagnetics Research, PIER 69, 67-75, 2007.
5. Bermani, E., A. Boni, A. Kerhet, and A. Massa, “Kernels evaluation of SVM based estimatiors for inverse scattering problems,” Progress In Electromagnetics Research, PIER 53, 167-188, 2005.
6. Yang, Z. Q., T. Yang, Y. Liu, and S. H. Han, “MIM capacitor modeling by support vector regression,” Journal of Electromagnetic Waves and Applications, Vol. 22, 61-67, 2008.
7. Wu, Y. Q., Z. X. Tang, B. Zhang, and Y. H. Xu, “Permeability measurement of ferromagnetic materials in microwave frequency range using support vector machine regression,” Progress In Electromagnetics Research, PIER 70, 247-256, 2007.
8. Xu, Y., “Modeling of SiC-MESFETs by using support vector machine regression,” Journal of Electromagnetic Waves and Applications, Vol. 21, 1489-1498, 2007.
9. Lázaro, M., F. Pérez-Cruz, and A. Artés-Rodríguez, “Learning a function and its derivative forcing the support vector expansion,” IEEE Signal Processing Letters, Vol. 12, 194-197, 2005.
10. Perez-Cruz, F., M. Lazaro, and A. Artes-Rodriguez, “Mutidimensonal SVM to include the samples of the derivatives in the reconstruction of a function,” 2004 European Signal Processing Conference, 597-600, Vienna, Sep. 2004.
11. Pedro, J. C. and J. Pérez, “Accurate simulation of GaAs MESFETs intermodulation using a new drain-source current model,” IEEE Transactions Microwave Theory and Techniques, Vol. 42, 25-33, 1994.
12. Santamaría, I., M. Lázaro, C. J. Pantaleón, J. A. García, A. Tazón, and A. Mediavilla, “A nonlinear MESFET model for intermodulation analysis using a generalized radial basis function network,” Neurocomputing, Vol. 25, 1-18, 1999.
13. Dambrine, G., A. Cappy, F. Heliodore, and E. Player, “A new method for determining the FET small-signal equivalent circuit,” IEEE Transactions Microwave Theory and Techniques, Vol. 36, 1151-1159, 1988.
14. Chang, C. C. and C. J. Lin, LIBSVM 2.81(2006): A library for support vector machines. Available: http://www.csie.ntu.edu.tw/∼cjlin/libsvm.
15. Wang, L., R. M. Xu, Y. C. Guo, and B. Yan, “A temperature dependent current model for phemt on GaAs,” Journal of Electromagnetic Waves and Applications, Vol. 22, 39-46, 2008.
16. Shi, Z. G., “Microwave chaostic colpitts oscillator: Design, implementation and application,” Journal of Electromagnetic Waves and Applications, Vol. 20, 1335-1349, 2006.