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Forward and Reverse Modeling of Low Noise Amplifiers Based on Circuit Simulations

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Model Reduction for Circuit Simulation

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 74))

Abstract

Forward and reverse modeling of RF circuit blocks are useful approaches in design space exploration. The underlying idea of forward modeling is the creation of accurate surrogate models, which can be used to predict the circuit performances replacing (expensive) circuit simulations. On the other hand, reverse modeling concerns multiobjective optimization to explore relevant trade-offs between performances. This paper provides a discussion of application of surrogate models and multiobjective optimization to narrow-band low noise amplifier design. We discuss numerical difficulties encountered when the forward model is derived by using surrogate models of low noise amplifier admittances to compute performance figures via analytical equations. Afterward, we provide an example where direct performace modeling leads to a more accurate result even when the simplest surrogate model type (a lookup table) is used. Finally, a detailed tutorial of the normal boundary intersection optimization method is provided.

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Notes

  1. 1.

    The subscript ‘n’ indicates that design variables W and L m have been normalized such that they vary between −1 and 1.

  2. 2.

    Admittances and noise functions are the elements of the vector b introducted in Sect. 5.1.

  3. 3.

    Z s , Z l and L m are elements of the vector y introduced in Sect. 5.1.

  4. 4.

    IIP2 is expressed in dBm, i.e. logarithmic scale.

  5. 5.

    Maximization of a performance p is equivalent to minimization of −p.

  6. 6.

    It is worthwhile to note that only 100 circuit simulations corresponding to different values of W need to be performed to generate the table, since the variability of L m is taken into account in the analytical performance equations, being L m an element of the vector y introduced in Sect. 5.1. Specific LNA performance equations are not included in this paper, because they can be found in any relevant text-book.

References

  1. Crombecq, K.: A gradient based approach to adaptive metamodeling. Technical report, University of Antwerp. (2007)

    Google Scholar 

  2. Croon, J.A., Leenaerts, D.M.W., Klaassen, D.B.M.: Accurate modeling of RF circuit blocks: weakly-nonlinear narrowband LNAs. In: Proceedings of the IEEE Custom Integrated Circuits Conference 2007, CICC 2007, pp. 865–868. 16–19 Sept 2007

    Google Scholar 

  3. Das, I., Dennis, J.E.: Normal-boundary intersection: a new method for generating Pareto optimal points in multicriteria optimization problems. SIAM J. Optim. 8, Nr. 3, 631–657 (1998)

    Article  MATH  MathSciNet  Google Scholar 

  4. De Tommasi, L., Gorissen, D., Croon, J.A., Dhaene, T.: Surrogate modeling of low noise amplifiers based on transistor level simulations. In: Roos J., Costa L.R.J. (eds.) Scientific Computing in Electrical Engineering SCEE 2008, Mathematics in Industry, Springer, Berlin (2009)

    Google Scholar 

  5. Eeckelaert, T., McConaghy, T., Gielen, G.: Efficient multiobjective synthesis of analog circuits using hierarchical pareto-optimal performance hypersurfaces. In: Proceedings of the Conference on Design, Automation and Test in Europe, DATE 2005, 2, pp. 1070–1075 (2005).

    Google Scholar 

  6. Gorissen, D., De Tommasi, L., Croon, J., Dhaene, T.: Automatic model type selection with heterogeneous evolution: an application to RF circuit block modeling. In: Proceedings of IEEE World Congress on Computational Intelligence, WCCI 2008, pp. 989–996. Hong Kong, June (2008).

    Google Scholar 

  7. Gorissen, D., De Tommasi, L., Crombecq, K., Dhaene, T.: Sequential modeling of a low noise amplifier with neural networks and active learning. Neural Comput. Appl. 18(5), 485–494 (2009)

    Google Scholar 

  8. Hendrickx, W., Gorissen, D., Dhaene, T.: Grid enabled sequential design and adaptive metamodeling. In: Proceedings of the 2006 Winter Simulation Conference, WSC 2006, pp. 872–881 (2006).

    Google Scholar 

  9. Karer, E.: Design Space Exploration of RF-Circuit Blocks, Master’s thesis, TU Eindhoven, July 2007.

    Google Scholar 

  10. Lee, T.H.: The Design of CMOS Radio-Frequency Integrated Circuits, 2nd edn. Cambridge University Press (2003).

    Google Scholar 

  11. Nieuwoudt, A., Ragheb, T., Massoud, Y.: SOC-NLNA: Synthesis and optimization for fully integrated narrow-band CMOS low noise amplifiers. In: Proceedings of IEEE/ACM Design Automation Conference, pp. 879–884 (2006).

    Google Scholar 

  12. Nieuwoudt, A., Ragheb, T., Nejati, H., Massoud, Y.: Numerical design optimization methodology for wideband and multi-band inductively degenerated cascode CMOS low noise amplifiers. IEEE Trans. circuits syst. I, 1088–1101 (2009).

    Google Scholar 

  13. Park, J., Choi, K., Allstot, D.: Parasitic-aware design and optimization of a fully integrated CMOS wideband amplifier. In: Proceedings of Asia and South Pacific Design Automation Conference, pp. 904–907 (2003).

    Google Scholar 

  14. Ranjan, M., Bhaduri, A., Verhaegen, W., Mukherjee, B., Vemuri, R., Gielen, G., Pacelli, A.: Use of symbolic performance models in layout-inclusive RF low noise amplifier synthesis. In: Proceedings of the 2004 IEEE International Behavioral Modeling and Simulation Conference, BMAS 2004, pp. 130–134 (2004).

    Google Scholar 

  15. SPEA2—Source files in C, http://www.tik.ee.ethz.ch/pisa/selectors/spea2/spea2_c_source.html accessed on 23/01/2011

  16. Stehr, G., Graeb, H.E., Antreich, K.J.: Analog performance space exploration by normal-boundary intersection and by Fourier-Motzkin elimination. IEEE Trans. Comp. Aided Des. Integr. Circuits Syst. 26, Nr. 10 (2007)

    Google Scholar 

  17. The SUrrogate MOdeling Toolbox. Wiki Page. URL http://www.sumowiki.intec.ugent.be/.

  18. Tulunay, G., Balkir, S.: A synthesis tool for CMOS RF low-noise amplifiers. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 27(5), pp. 977–982 (2008).

    Article  Google Scholar 

  19. Zhang, Q.J., Gupta, K.C.: Neural Networks for RF and Microwave Design. Artech House, Boston (2000).

    Google Scholar 

  20. Zitzler, E., Laumanns, M., Thiele, L.: SPEA2: improving the strength pareto evolutionary algorithm, Technical Report TIK Report 103, ETH Zürich (2001).

    Google Scholar 

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Acknowledgements

This work was supported by the European Commission through the Marie Curie Actions of its Sixth Framework Program under the contract number MTKI-CT-2006-042477.

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Correspondence to Luciano De Tommasi .

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Tommasi, L.D., Rommes, J., Beelen, T., Sevat, M., Croon, J.A., Dhaene, T. (2011). Forward and Reverse Modeling of Low Noise Amplifiers Based on Circuit Simulations. In: Benner, P., Hinze, M., ter Maten, E. (eds) Model Reduction for Circuit Simulation. Lecture Notes in Electrical Engineering, vol 74. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-0089-5_5

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  • DOI: https://doi.org/10.1007/978-94-007-0089-5_5

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