DocumentCode
3267250
Title
Automated design of radio-frequency single-ended switched capacitor arrays using genetic algorithms
Author
Mendes, Luís ; Pires, E. J Solteiro ; Vaz, João Caldinhas ; Rosário, Maria João
Author_Institution
Inst. Politec. de Leiria, Leiria
fYear
2007
fDate
5-8 Aug. 2007
Firstpage
453
Lastpage
456
Abstract
This paper presents an automated synthesis procedure to design radio-frequency and microwave binary-weighted single-ended switched capacitor arrays (RFSSCAs) from user top-level specifications to components sizes. The method relies on closed-form symbolic mathematical expressions of the input impedance and quality factor of the RFSSCA. The genetic synthesis tool optimizes a fitness function based on user-specified performance constraints. The method determines several optimal solutions, which are completely independent of the starting point. Moreover, infeasible specifications are unambiguously detected. To validate the proposed design algorithm, two RFSSCAs are synthesized in a 0.35 mum CMOS technology and verified by the SpectreRF simulator of the Cadence design environment. The results show that the synthesis and simulation outcomes are in very good agreement.
Keywords
CMOS integrated circuits; Q-factor; genetic algorithms; microwave integrated circuits; switched capacitor networks; CMOS technology; Cadence design environment; SpectreRF simulator; automated synthesis procedure; closed-form symbolic mathematical expressions; fitness function; genetic algorithms; radiofrequency single-ended switched capacitor arrays; symbolic mathematical expressions; Algorithm design and analysis; CMOS technology; Capacitors; Circuits; Design optimization; Genetic algorithms; Microwave antenna arrays; Q factor; Radio frequency; Switches;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 2007. MWSCAS 2007. 50th Midwest Symposium on
Conference_Location
Montreal, Que.
ISSN
1548-3746
Print_ISBN
978-1-4244-1175-7
Electronic_ISBN
1548-3746
Type
conf
DOI
10.1109/MWSCAS.2007.4488627
Filename
4488627
Link To Document