DocumentCode :
732283
Title :
A black-box approach to RF LNA design
Author :
Spasaro, Michele ; Alimenti, Federico ; Zito, Domenico
Author_Institution :
Marconi Lab., Tyndall Nat. Inst., Cork, Ireland
fYear :
2015
fDate :
7-10 June 2015
Firstpage :
1
Lastpage :
4
Abstract :
This paper presents a novel power-constrained algorithmic design methodology for radiofrequency (RF) low-noise amplifiers (LNAs). The methodology is based on matrix descriptions of the transistors allowing for the first time the derivation of exact synthesis equations for input impedance matching and transducer gain optimization. The equations are embedded in an algorithm for design tradeoffs between noise performance and gain. In particular, the synthesis equations are demonstrated for the cascode topology with inductive degeneration. The matrices required by the mathematical description are derived through simulations, allowing the algorithmic design methodology to be accurate, flexible (i.e. applicable to any two-port active device), and compliant with the needs of intellectual property protection since no dc, small-signal, or noise model parameters are required. The methodology is validated through the design of a 2 mW 2.45 GHz LNA in a predictive 90 nm CMOS technology.
Keywords :
impedance matching; integrated circuit design; low noise amplifiers; radiofrequency amplifiers; RF LNA design; black-box approach; cascode topology; frequency 2.45 GHz; inductive degeneration; input impedance matching; power 2 mW; radiofrequency low-noise amplifiers; size 90 nm; synthesis equations; transducer gain optimization; Algorithm design and analysis; CMOS integrated circuits; Current density; Design methodology; Mathematical model; Noise; Transistors; Algorithmic design; CMOS; LNA; black-box; cascode; correlation matrices; impedance matching; nano-scale;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
New Circuits and Systems Conference (NEWCAS), 2015 IEEE 13th International
Conference_Location :
Grenoble
Type :
conf
DOI :
10.1109/NEWCAS.2015.7182080
Filename :
7182080
Link To Document :
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