A scalable RFCMOS noise model

This paper presents the high-frequency (HF) noise...

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Main Authors: Yeo, Kiat Seng, Tong, Ah Fatt, Lim, Wei Meng, Sia, Choon Beng, Zhou, Wen Cong
Other Authors: School of Electrical and Electronic Engineering
Format: Article
Language:English
Published: 2010
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Online Access:https://hdl.handle.net/10356/90851
http://hdl.handle.net/10220/6245
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-908512020-03-07T14:02:40Z A scalable RFCMOS noise model Yeo, Kiat Seng Tong, Ah Fatt Lim, Wei Meng Sia, Choon Beng Zhou, Wen Cong School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering This paper presents the high-frequency (HF) noise modeling of an RF MOSFET for a 90-nm technology node. A brief discussion on the noise measurement theory is presented to illustrate the limitation of the noise measurement system. The extracted noise sources were studied for their geometry and biasing dependences and by implementing additional noise sources into the small-signal RFCMOS model, accurate HF noise simulation for the transistor can be achieved. Verilog-A is used for the coding of the additional noise sources into the RFCMOS model and the added noise source will compensate the underestimation of the channel thermal noise from the BSIM3v3 core model. Simulated noise circles and the measured noise figures are plotted at other source impedances to show that all the noise parameters are simulated accurately. The biasing and geometry dependences of the measured and simulated noise parameters are presented to demonstrate the scalability of the developed HF noise model. The scalability feature in HF noise model can be implemented into the process design kit (PDK) so that more powerful PDK can be developed for the circuit designers to optimize and simulate their circuit design that requires stringent noise specifications. The accurate noise simulation can ensure better chance of success and reduce the number of tape-out and design cycle time. Published version 2010-05-04T00:50:43Z 2019-12-06T17:55:12Z 2010-05-04T00:50:43Z 2019-12-06T17:55:12Z 2009 2009 Journal Article Tong, A. F., Lim, W. M., Yeo, K. S., Sia, C. B., & Zhou, W. C. (2009). Scalable RFCMOS Noise Model. IEEE Transactions On Microwave Theory And Techniques. 57(5), 1009-1019. 0018-9480 https://hdl.handle.net/10356/90851 http://hdl.handle.net/10220/6245 10.1109/TMTT.2009.2017245 en IEEE transactions on microwave theory and techniques © 2009 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. http://www.ieee.org/portal/site This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. 11 p. application/pdf
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic DRNTU::Engineering::Electrical and electronic engineering
spellingShingle DRNTU::Engineering::Electrical and electronic engineering
Yeo, Kiat Seng
Tong, Ah Fatt
Lim, Wei Meng
Sia, Choon Beng
Zhou, Wen Cong
A scalable RFCMOS noise model
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Yeo, Kiat Seng
Tong, Ah Fatt
Lim, Wei Meng
Sia, Choon Beng
Zhou, Wen Cong
format Article
author Yeo, Kiat Seng
Tong, Ah Fatt
Lim, Wei Meng
Sia, Choon Beng
Zhou, Wen Cong
author_sort Yeo, Kiat Seng
title A scalable RFCMOS noise model
title_short A scalable RFCMOS noise model
title_full A scalable RFCMOS noise model
title_fullStr A scalable RFCMOS noise model
title_full_unstemmed A scalable RFCMOS noise model
title_sort scalable rfcmos noise model
publishDate 2010
url https://hdl.handle.net/10356/90851
http://hdl.handle.net/10220/6245
_version_ 1681034259103481856
description This paper presents the high-frequency (HF) noise modeling of an RF MOSFET for a 90-nm technology node. A brief discussion on the noise measurement theory is presented to illustrate the limitation of the noise measurement system. The extracted noise sources were studied for their geometry and biasing dependences and by implementing additional noise sources into the small-signal RFCMOS model, accurate HF noise simulation for the transistor can be achieved. Verilog-A is used for the coding of the additional noise sources into the RFCMOS model and the added noise source will compensate the underestimation of the channel thermal noise from the BSIM3v3 core model. Simulated noise circles and the measured noise figures are plotted at other source impedances to show that all the noise parameters are simulated accurately. The biasing and geometry dependences of the measured and simulated noise parameters are presented to demonstrate the scalability of the developed HF noise model. The scalability feature in HF noise model can be implemented into the process design kit (PDK) so that more powerful PDK can be developed for the circuit designers to optimize and simulate their circuit design that requires stringent noise specifications. The accurate noise simulation can ensure better chance of success and reduce the number of tape-out and design cycle time.