A behavioral modeling approach to nonlinear model-order reduction for RF/microwave ICs and systems

IEEE Transactions on Microwave Theory and Techniques

Volumn 52, Issue 9 II, 2004, Pages 2274-2284

  Wood, John ^a   Root, David E ^a   Tufillaro, Nicholas B ^b  

^a AGILENT TECHNOLOGIES   (United States)

^b AGILENT LABORATORIES   (United States)

Author keywords

Estimation; Identification; Modeling; Nonlinear systems; Reduced order systems

Indexed keywords

COMPUTATIONAL COMPLEXITY; COMPUTATIONAL GEOMETRY; COMPUTER SIMULATION; DIGITAL COMMUNICATION SYSTEMS; IDENTIFICATION (CONTROL SYSTEMS); INFORMATION THEORY; MATHEMATICAL MODELS; NONLINEAR NETWORK ANALYSIS; NONLINEAR SYSTEMS;

INTERMODULATION DISTORTION; MODEL ORDER REDUCTION; REDUCED ORDER SYSTEMS; RF INTEGRATED CIRCUITS (RFIC);

MICROWAVE INTEGRATED CIRCUITS;

EID: 4544226718     PISSN: 00189480     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMTT.2004.834554     Document Type: Article

References (28)

1. K. S. Kundert and A. Sangiovanni-Vincentelli, "Simulation of nonlinear circuits in the frequency domain," IEEE Trans. Computer-Aided Design, vol. CAD-5, pp. 521-535, Oct. 1986.
2. D. Sharrit, "A new method of analysis of communication systems," presented at the IEEE MTT-S Int. Microwave Symp. Workshop, 1996.
3. E. Ngoya and R. Larcheveque, "Envelope transient analysis: A new method for the transient and steady state analysis of microwave communication circuits and systems," in IEEE MTT-S Int. Microwave Symp. Dig., 1996, pp. 1365-1368.
4. I. Phillips, "A statistical perspective on nonlinear model reduction," in Behavioral Modeling and Simulation Workshop, San Jose, CA, Oct. 7-8, 2003, pp. 41-46.
5. D. M. Walker, R. Brown, and N. B. Tufillaro, "Constructing transportable behavioral models for nonlinear electronic devices," Phys. Lett. A, vol. 255, pp. 236-242, 1999.
6. D. E. Root, J. Wood, and N. B. Tufillaro, "New techniques for nonlinear behavioral modeling of microwave/RF IC's from simulation and nonlinear microwave measurements," in Proc. Design Automation Conf., 2003, pp. 85-90.
7. H. Kantz and T. Schreiber, Nonlinear Time Series Analysis. Cambridge, MA: Cambridge Univ. Press, 1997.
8. M. Casdagli, "A dynamical systems approach to modeling input-output systems," in Nonlinear Modeling and Forecasting, SFI Studies in the Science of Complexity, M. Casdagli and S. Eubank, Eds. Reading, MA: Addison-Wesley, 1992, vol. XII.
9. J. Stark, "Delay embeddings and forced systems," J Nonlinear Sci., vol. 9, pp. 255-332, 1999.
10. M. Rewienski and J. White, "A trajectory piecewise-linear approach to model order reduction and fast simulation of nonlinear circuits and micromachined devices," IEEE Trans. Computer-Aided Design, vol. 22, pp. 155-170, Feb. 2003.
11. D. M. Walker and N. B. Tufillaro, "Phase space reconstruction using input-output time series data," Phys. Rev. E, Stat. Phys. Plasmas Fluids Relat. Interdiscip. Top., vol. 60, pp. 4008-4013, 1999.
12. N. Gershenfeld, The Nature of Mathematical Modeling. Cambridge, U.K.: Cambridge Univ. Press, 1999.
13. M. B. Kennel, R. Brown, and H. Abarbanel, "Determining embedding dimension for phase-space reconstruction using a geometrical construction," Phys. Rev. A, Gen. Phys., vol. 45, pp. 3403-3411, 1992.
14. C. Rhodes and M. Morari, "False-nearest-neighbors algorithm and noise-corrupted time-series," Phys. Rev. E, Stat. Phys. Plasmas Fluids Relat. Interdiscip. Top., vol. 55, pp. 6162-6170, 1997.
15. J. Xu, M. C. E. Yagoub, R. Ding, and Q.-J. Zhang, "Neural-based dynamic modeling of nonlinear microwave circuits," in IEEE MTT-S Int. Microwave Symp. Dig., 2002, pp. 1101-1104.
16. D. Schreurs, J. Wood, N. B. Tufillaro, D. Usikov, L. Barford, and D. E. Root, "The construction and evaluation of behavioral models for microwave devices based on time-domain large-signal measurements," in Int. Electron Devices Meeting Conf. Dig., 2000, pp. 819-822.
17. D. M. Walker, N. B. Tufillaro, and P. Gross, "Radial basis model for feedback systems with fading memory," IEEE Trans. Circuits Syst. I, vol. 48, pp. 1147-1151, Sept. 2001.
18. D. Schreurs, J. Wood, N. B. Tufillaro, L. Barford, and D. E. Root, "Construction of behavioral models for microwave devices from time-domain large signal measurements to speed up high-level design simulations," J. RF Microwave Computer-Aided Eng., vol. 13, pp. 54-61, 2003.
19. J. Wood and D. E. Root, "The behavioral modeling of microwave/RF IC's using nonlinear time series analysis," in IEEE MTT-S Int. Microwave Symp. Dig., 2003, pp. 791-794.
20. G. Cybenko, "Approximation by superposition of sigmoidal functions," Math. Contr., Signals, Syst., vol. 2, pp. 303-314, 1989.
21. S. Haykin, Neural Networks. Upper Saddle River, NJ: Prentice-Hall, 1999.
22. L. Prechelt, "Automatic early-stopping using cross validation: Quantifying the criteria," Neural Networks, vol. 11, pp. 761-767, 1998.
23. F. Dan Foresee and M. T. Hagan, "Gauss-Newton approximation to Bayesian learning," in Proc. Int. Joint Neural Networks Conf., 1997, pp. 1930-1935.
24. D. E. Root, J. Wood, A. Pekker, N. Tufillaro, and D. Schreurs, "Systematic behavioral modeling of nonlinear microwave/RF circuits in the time domain using techniques from nonlinear dynamical systems," presented at the Behavioral Modeling and Simulation Workshop, Santa Rosa, CA, Oct. 6-8, 2002.
25. D. Barataud, A. Mallet, M. Campovecchio, J. M. Nebus, J. P. Vilotte, and J. Verspecht, "Measurements of time-domain voltage/current waveforms at RF and microwave frequencies for the characterization of nonlinear devices," in Instrument and Measurement Technology Conf., vol. 2, 1998, pp. 1006-10.
26. K. Judd and A. Mees, "On selecting models for nonlinear time series," Physica, vol. D 82, pp. 426-444, 1995.
27. M. Small and C. K. Tse, "Minimum description length neural networks for time-series prediction," Phys. Rev. E, Stat. Phys. Plasmas Fluids Relat. Interdiscip. Top., vol. 66, Paper 066701, pp. 1-12, 2002.
28. HMMC-5200 DC-20 GHz HBT series-shunt amplifier datasheet. Agilent Technol., Palo Alto, CA. [Online]. Available: http://www.agilent.com/home/moved/ spg_moved.shtml