A Novel Design and Optimization Approach for Low Noise Amplifiers (LNA) Based on MOST Scattering Parameters and the gm/ID Ratio

被引：4

作者：

Castagnola, Juan L. ^{[1
]}

Dualibe, Fortunato C. ^{[2
]}

Laprovitta, Agustin M. ^{[1
]}

Garcia-Vazquez, Hugo ^{[3
]}

机构：

[1] Univ Catolica Cordoba, Fac Ingn, RA-5017 Cordoba, Argentina

[2] Univ Mons UMONS, Serv Elect & Microelect, B-7000 Mons, Belgium

[3] Inst Astrofis Canarias IAC, Dept Elect, San Cristobal la Laguna 38200, Spain

来源：

ELECTRONICS | 2020年 / 9卷 / 05期

关键词：

LNA design; gm; I-D; ACM; S-parameters; methodology; optimization; METHODOLOGY;

D O I：

10.3390/electronics9050785

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This work presents a new design methodology for radio frequency (RF) integrated circuits based on a unified analysis of the scattering parameters of the circuit and the gm/I-D ratio of the involved transistors. Since the scattering parameters of the circuits are parameterized by means of the physical characteristics of transistors, designers can optimize transistor size and biasing to comply with the circuit specifications given in terms of S-parameters. A complete design of a cascode low noise amplifier (LNA) in MOS 65 nm technology is taken as a case study in order to validate the approach. In addition, this methodology permits the identification of the best trade-off between the minimum noise figure and the maximum gain for the LNA in a very simple way.

引用

页数：17

共 13 条

[1] Design and optimisation of a cascode low noise amplifier (LNA) using MOST scattering parameters and gm/ID ratio
Luis Castagnola, Juan
Garcia-Vazquez, Hugo
Carlos Dualibe, Fortunato
2018 IEEE 9TH LATIN AMERICAN SYMPOSIUM ON CIRCUITS & SYSTEMS (LASCAS), 2018, : 170 - 173
[2] Using scattering parameters and the gm/ID MOST ratio for characterisation and design of RF circuits
Luis Castagnola, Juan
Carlos Dualibe, Fortunato
Garcia-Vazquez, Hugo
2016 IEEE 59TH INTERNATIONAL MIDWEST SYMPOSIUM ON CIRCUITS AND SYSTEMS (MWSCAS), 2016, : 513 - 516
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[10] Low-noise blade design optimization for a transonic fan using adjoint-based approach
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