New techniques for non-linear behavioral modeling of microwave/RF ICs from simulation and nonlinear microwave measurements

Proceedings - Design Automation Conference

Volumn , Issue , 2003, Pages 85-90

  Root, David E ^a   Wood, John ^a   Tufillaro, Nick ^b  

^a AGILENT TECHNOLOGIES   (United States)

^b Agitent Laboratories   (United States)

Author keywords

Behavioral Modeling; Circuit Simulation; MMICs; Nonlinear Dynamics; Nonlinear Modeling; Nonlinear Simulation; RFICs

Indexed keywords

COMPUTER SIMULATION; FREQUENCY DOMAIN ANALYSIS; NEURAL NETWORKS; NONLINEAR SYSTEMS; RADIO COMMUNICATION; TIME SERIES ANALYSIS;

NONLINEAR COMPONENTS;

MICROWAVE INTEGRATED CIRCUITS;

EID: 0043092205     PISSN: 0738100X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/775852.775856     Document Type: Conference Paper

References (24)

1. Kundert, K. S., Sangiovanni-Vincentelli, A., Simulation of nonlinear circuits in the frequency domain. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems CAD-5(4) pp.521-535 (1986).
2. Sharrit, D. A new method of analysis of communication systems. IEEE MTTS'96 Workshop on Nonlinear CAD (June 1996).
3. Ngoya, E. and Larcheveque, R. Envelop transient analysis: a new method for the transient and steady state analysis of microwave communication circuits and systems. IEEE MTTS'96 (June 1996) pp1365-68.
4. Kundert, K. S., White, J. K., Sangiovanni-Vincentelli, A. An envelope-following method for the efficient transient simulation of switching power and filter circuits. IEEE ICCAD-88 International Conference on Computer-Aided Design (November 1988) pp. 446-449.
5. Kundert, K. S., White, J. K., Sangiovanni-Vincentelli, A. Steady-State Methods for simulating analog and microwave circuits. Kluwer Academic Publishers 1990
6. Phillips, J.R. Projection-based approaches for model reduction of weakly nonlinear time-varying sytesms. IEEE Trans. Computer-aided design of integrated circuits and systems, Vol 22, No. 2, (February, 2003)
7. Zhang, Q. J. and Gupta, K. C. Neural networks for RF and microwave design. Artech House (2000).
8. Haykin, S. Neural Networks: a comprehensive foundation. 2nd ed. Prentice-Hall (1999).
9. Xu, J., Yagoub, M. C. E., Ding, R., Zhang, Q. J. Neural based dynamic modeling of nonlinear microwave circuits. IEEE MTT-S 2002 (June 2002) pp. 1101-1104.
10. Wood, J. and Root, D. E. The behavioral modeling of microwave/RF ICs using non-linear time series analysis. IEEE IMS2003 (June 2003).
11. Root, D. E., Wood, J., Pekker, A. Systematic behavioral modeling of nonlinear microwave/RF circuits in the time domain using techniques from nonlinear dynamical systems. IEEE BMAS 2002 (October 2002).
12. Schreurs, D., Wood, J., Tufillaro, N., Barford, L. and Root, D. E. Construction of behavioural models for microwave devices from time-domain large-signal measurements to speed up high-level design simulations. International Journal of RF and Microwave Computer-Aided Engineering: Special Issue on 'Measurement Techniques for Effective CAD' 13(1) pp. 54-61 (2003).
13. Schreurs, D.,Wood, J., Tufillaro, N., Usikov, D., Barford, L. and Root, D. E. The construction and evaluation of behavioral models for microwave devices based on time-domain large-signal measurements. International Electron Devices Meeting 2000, (December 2000) IEDM Technical Digest pp. 819-822.
14. Kantz, H. and Schreiber, T. Nonlinear Time Series Analysis, Cambridge University Press (1997)
15. Stark, J. Delay embeddings and forced systems, J. Nonlinear Science, 9 pp 255-332 (1999).
16. Kennel, M. B., Brown, R., Abarbanel, H. Determining embedding dimension for phase-space reconstruction using a geometrical construction, Phys. Rev. A 45 pp3403-3411 (1992).
17. Verspecht, J., Verbeyst, F., Vanden Bossche, M. Network analysis beyond S-parameters: characterizing and modeling component behaviour under modulated large-signal operating conditions. ARFTG 56 Colorado (December 2000)
18. Schreurs, D. and Remley, K. Use of multisine signals for efficient behavioural modelling of RF circuits with short-memory effects. ARFTG 61 Philadelphia (June 2003).
19. Ku, H., McKinley, M. D., Kenney, J. S. Extraction of accurate behavioral models for power amplifiers with memory effects using two-tone measurements. IEEE MTT-S 2002 (June 2002) pp. 139-142.
20. Reig, P., LeGallou, N., Nebus, J-M., and Ngoya, E. Accurate RF and microwave system level modeling of wideband nonlinear circuits. IEEE MTT-S2000 (June 2000) pp. 79-82.
21. LeGallou, N., Ngoya, E., Buret, H., Barataud, D., and Nebus, J-M. An improved behavioral modeling technique for high power amplifiers with memory. IEEE MTT-S2001 (May 2001) pp. 983-986.
22. Tuinenga, P., Models rush in where simulators fear to tread: extending the baseband-equivalent method. IEEE BMAS 2002 (October 2002).
23. Verspecht, J. Describing functions can better model hard nonlinearities in the frequency domain than the Volterra theory. Annex to Ph.D. dissertation, Vrije Universiteit Brussel (1995).
24. Verspecht, J., Verbeyst, F., Vanden Bossche, M., Van Esch, P. System level simulation benefits from frequency domain behavioral models of mixers and amplifiers, in Proceedings of 29th European Microwave Conf. (1999)., pp29-32.