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Design of Radio-Frequency Integrated CMOS Discrete Tuning Varactors Using the Particle Swarm Optimization Algorithm

2009Book part Open access
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datacite.subject.sdg03:Saúde de Qualidade
datacite.subject.sdg10:Reduzir as Desigualdades
datacite.subject.sdg11:Cidades e Comunidades Sustentáveis
dc.contributor.authorPires, E. J. Solteiro
dc.contributor.authorMendes, Luís
dc.contributor.authorOliveira, P. B. de Moura
dc.contributor.authorMachado, J. A. Tenreiro
dc.contributor.authorVaz, João C.
dc.contributor.authorRosário, Maria J.
dc.date.accessioned2025-06-02T16:59:17Z
dc.date.available2025-06-02T16:59:17Z
dc.date.issued2009
dc.descriptionMendes, Luís M. Domingues - Scopus ID: 58339546000 (Moreira Mendes, Luís Miguel - Ciência ID 0A11-CBD0-48A2 - docente da ESTG)
dc.description.abstractThis paper presents an automated design procedure of radio- frequency integrated CMOS discrete tuning varactors (RFDTVs). This new method use the maximin and the particle swarm optimization (PSO) algorithms to promote well distributed non-dominated fronts in the parameters space when a single-objective function is optimized. The fitness function used in the search tool is proportional to the RFDTV quality factor. The outcome of the automated design method comprises a set of RFDTV circuits, all having the same maximum performance. Each solution, which corresponds to one RFDTV circuit, is defined by the number of cells and by the circuit components values. This approach allows the designer to choose among several possible circuits the one that is easier to implement in a given CMOS process. To validate the effectiveness of the synthesis procedure proposed in this paper (PSO-method) comparisons with a design method based on genetic algorithms (GA-method) are presented. A 0.18 μm CMOS radio-frequency binary-weighted differential switched capacitor array (RFDSCA) was designed and implemented (the RFDSCA is one of the possible topologies of the RFDTVs). The results show that both design methods are in very good agreement. However, the PSO technique outperforms the GA-method in the design procedure run time taken to accomplish the same performance results.eng
dc.description.sponsorshipThe authors would like to thank to Fundação para a Ciência e a Tecnologia for funding the project PTDC/EEA-ELC/64368/2006.
dc.identifier.citationPires, E.J.S., Mendes, L., de Moura Oliveira, P.B., Machado, J.A.T., Vaz, J.C., Rosário, M.J. (2009). Design of Radio-Frequency Integrated CMOS Discrete Tuning Varactors Using the Particle Swarm Optimization Algorithm. In: Omatu, S., et al. Distributed Computing, Artificial Intelligence, Bioinformatics, Soft Computing, and Ambient Assisted Living. IWANN 2009. Lecture Notes in Computer Science, vol 5518. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02481-8_184.
dc.identifier.doi10.1007/978-3-642-02481-8_184
dc.identifier.isbn9783642024801
dc.identifier.isbn9783642024818
dc.identifier.issn0302-9743
dc.identifier.issn1611-3349
dc.identifier.urihttp://hdl.handle.net/10400.8/13070
dc.language.isoeng
dc.peerreviewedyes
dc.publisherSpringer Nature
dc.relationDouble-Band Multi-Sandard Radio Frequency Front-End for WLAN applications
dc.relation.hasversionhttps://link.springer.com/chapter/10.1007/978-3-642-02481-8_184
dc.relation.ispartofLecture Notes in Computer Science
dc.relation.ispartofDistributed Computing, Artificial Intelligence, Bioinformatics, Soft Computing, and Ambient Assisted Living
dc.rights.uriN/A
dc.subjectParticle swarm optimization
dc.subjectanalog circuit design
dc.subjectautomated circuit synthesis
dc.subjectradio-frequency integrated circuit
dc.titleDesign of Radio-Frequency Integrated CMOS Discrete Tuning Varactors Using the Particle Swarm Optimization Algorithmeng
dc.typebook part
dspace.entity.typePublication
oaire.awardTitleDouble-Band Multi-Sandard Radio Frequency Front-End for WLAN applications
oaire.awardURIhttp://hdl.handle.net/10400.8/12949
oaire.citation.endPage1239
oaire.citation.startPage1231
oaire.citation.titleLecture Notes in Computer Science
oaire.citation.volume5518
oaire.fundingStream3599-PPCDT
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
relation.isProjectOfPublication4505ab7b-cddd-41bb-9824-9890139a3ac0
relation.isProjectOfPublication.latestForDiscovery4505ab7b-cddd-41bb-9824-9890139a3ac0

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This paper presents an automated design procedure of radio- frequency integrated CMOS discrete tuning varactors (RFDTVs). This new method use the maximin and the particle swarm optimization (PSO) algorithms to promote well distributed non-dominated fronts in the parameters space when a single-objective function is optimized. The fitness function used in the search tool is proportional to the RFDTV quality factor. The outcome of the automated design method comprises a set of RFDTV circuits, all having the same maximum performance. Each solution, which corresponds to one RFDTV circuit, is defined by the number of cells and by the circuit components values. This approach allows the designer to choose among several possible circuits the one that is easier to implement in a given CMOS process. To validate the effectiveness of the synthesis procedure proposed in this paper (PSO-method) comparisons with a design method based on genetic algorithms (GA-method) are presented. A 0.18 μm CMOS radio-frequency binary-weighted differential switched capacitor array (RFDSCA) was designed and implemented (the RFDSCA is one of the possible topologies of the RFDTVs). The results show that both design methods are in very good agreement. However, the PSO technique outperforms the GA-method in the design procedure run time taken to accomplish the same performance results.
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