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Design Optimization of Radio Frequency Discrete Tuning Varactors

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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 theε-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.

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Author information

Authors and Affiliations

  1. Escola Superior de Tecnologia e Gestão, Instituto Politécnico de Leiria,Portugal, Instituto de Telecomunicações, Portugal

    Luís Mendes

  2. Centro de Investigação e de Tecnologias Agro-Ambientais e Biológicas, Universidade de Trás-os-Montes e Alto Douro, Portugal

    Eduardo J. Solteiro Pires & Paulo B. de Moura Oliveira

  3. Inst. Sup. de Engenharia do Porto, Instituto Politécnico do Porto, Portugal

    José A. Tenreiro Machado

  4. Inst. Sup. de Engenharia de Coimbra, Instituto Politécnico de Coimbra, Portugal

    Nuno M. Fonseca Ferreira

  5. Instituto Superior Técnico, Universidade Técnica de Lisboa, Portugal, Instituto de Telecomunicações, Portugal

    João Caldinhas Vaz & Maria J. Rosário

Authors
  1. Luís Mendes

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  2. Eduardo J. Solteiro Pires

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  3. Paulo B. de Moura Oliveira

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  4. José A. Tenreiro Machado

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  5. Nuno M. Fonseca Ferreira

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  6. João Caldinhas Vaz

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  7. Maria J. Rosário

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Editor information

Editors and Affiliations

  1. Department of Animal Production Epidemiology and Ecology, University of Torino, Via Leonardo da Vinci 44, 10095, Grugliasco, Italy

    Mario Giacobini

  2. Quinn School of Business, Belfield, University College Dublin, Dublin 4, Ireland

    Anthony Brabazon

  3. Department of Computer Engineering, University of Parma, Viale Usberti 181/a, 43100, Parma, Italy

    Stefano Cagnoni

  4. Dalla Molle Institute for Artificial Intelligence (IDSIA), Gallelria 2, 6928, Manno-Lugano, Switzerland

    Gianni A. Di Caro

  5. School of Engineering and Applied Science,Aston Triangle, Aston University, B4 7ET, Birmingham, UK

    Anikó Ekárt

  6. Complex Adaptive Systems Group, Instituto Tecnológico de Informática, Ciudad PolitŽcnica de la Innovacin, Edif. 8G Acceso B, 46022, Valencia, Spain

    Anna Isabel Esparcia-Alcázar

  7. Next Generation Itelligent Networks Research Center (nexGIN RC), National University of Computer and Emerging Sciences (NUCES), Islamabad, Pakistan

    Muddassar Farooq

  8. Faculty of Economics and Social Sciences, Helmut-Schmidt-University, Holstenhofweg 85, 22043, Hamburg, Germany

    Andreas Fink

  9. Department of Informatics Engineering, Polo II - Pinhal de Marrocos, University of Coimbra, 3030 - 290, Coimbra, Portugal

    Penousal Machado

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© 2009 Springer-Verlag Berlin Heidelberg

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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

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