Skip to main content

Design Optimization of Radio Frequency Discrete Tuning Varactors

  • Conference paper
Applications of Evolutionary Computing (EvoWorkshops 2009)

Abstract

This work presents a procedure to automate the design of Si-integrated radio frequency (RF) discrete tuning varactors (RFDTVs). The synthesis method, which is based on evolutionary algorithms, searches for optimum performance RF switched capacitor array circuits that fulfill the design restrictions. The design algorithm uses the ε-dominance concept and the maximin sorting scheme to provide a set of different solutions (circuits) well distributed along an optimal front in the parameter space (circuit size and component values). Since all the solutions present the same performance, the designer can select the circuit that is best suited to be implemented in a particular integration technology. To assess the performance of the synthesis procedure, several RFDTV circuits, provided by the algorithm, were designed and simulated using a \(0.18\mu\textrm{m}\) CMOS technology and the Cadence Virtuoso Design Platform. The comparisons between the algorithm and circuit simulation results show that they are very close, pointing out that the proposed design procedure is a powerful design tool.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Goldberg, D.E., Richardson, J.: Genetic Algorithms with Sharing for Multi-Modal Function Optimisation. In: Proceedings of the 2nd International Conference on Genetic Algorithms and Their Applications, Cambridge, USA, pp. 41–49 (1987)

    Google Scholar 

  2. De Jong, K.A.: An Analysis of the Behavior of a Class of Genetic Adaptive Systems. PhD thesis, University of Michigan (1975)

    Google Scholar 

  3. Paul Yoon, K., Hwang, C.L.: Multiple Attribute Decision Making: An Introduction. Quantitative Applications in the Social Sciences. SAGE Publications, Thousand Oaks (1995)

    Book  Google Scholar 

  4. Luce, R.D., Raiffa, H.: Game and Decision: Introduction and Critical Survey. John Wiley & Sons, Inc., New York (1957)

    MATH  Google Scholar 

  5. Balling, R.: The maximin fitness function; multi-objective city and regional planning. In: Fonseca, C.M., Fleming, P.J., Zitzler, E., Deb, K., Thiele, L. (eds.) EMO 2003. LNCS, vol. 2632, pp. 1–15. Springer, Heidelberg (2003)

    Chapter  Google Scholar 

  6. Li, X.: Better spread and convergence: Particle swarm multiobjective optimization using the maximin fitness function. In: Deb, K., et al. (eds.) GECCO 2004. LNCS, vol. 3102, pp. 117–128. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  7. Pires, E.J.S., de Moura Oliveira, P.B., Machado, J.A.T.: Multi-objective maximin sorting scheme. In: Coello Coello, C.A., Hernández Aguirre, A., Zitzler, E. (eds.) EMO 2005. LNCS, vol. 3410, pp. 165–175. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  8. Laumanns, M., Thiele, L., Deb, K., Zitzler, E.: Archiving with Guaranteed Convergence and Diversity in Multi-Objective Optimization. In: Proc. of the Genetic and Evolutionary Comp. Conference, pp. 439–447. Morgan Kaufmann Publishers, San Francisco (2002)

    Google Scholar 

  9. Mendes, L., Solteiro Pires, E.J., Vaz, J.C., Rosário, M.J.: Automated Design of Radio-Frequency Single-Ended Switched Capacitor Arrays using Genetic Algorithms. In: IEEE International Midwest Symposium on Circuits and Systems, Montréal, Canada (August 2007)

    Google Scholar 

  10. Mendes, L., Vaz, J.C., Rosário, M.J.: A Closed-Form Input Admittance Solution for RF and Microwave Switched Capacitor Arrays. In: IEEE International Midwest Symposium on Circuits and Systems, San Juan, Puerto Rico (August 2006)

    Google Scholar 

  11. Mendes, L., Vaz, J.C., Rosário, M.J.: Performance of Si-Integrated Wide-Band Single-Ended Switched Capacitor Arrays. In: 13th IEEE International Conference on Electronic Circuits and Systems, Nice, France (December 2006)

    Google Scholar 

  12. Deb, K.: Multi-Objective Optimization Using Evolutionary Algorithms. John Wiley & Sons, Ltd., Chichester (2001)

    MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2009 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Mendes, L. et al. (2009). Design Optimization of Radio Frequency Discrete Tuning Varactors. In: Giacobini, M., et al. Applications of Evolutionary Computing. EvoWorkshops 2009. Lecture Notes in Computer Science, vol 5484. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01129-0_38

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-01129-0_38

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-01128-3

  • Online ISBN: 978-3-642-01129-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics