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Article: Volterra Series-Based Time-Domain Macromodeling of Nonlinear Circuits
Title | Volterra Series-Based Time-Domain Macromodeling of Nonlinear Circuits |
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Authors | |
Keywords | Blackbox macromodeling nonlinear circuits Volterra series (VS) X-parameters |
Issue Date | 2017 |
Publisher | IEEE. The Journal's web site is located at http://cpmt.ieee.org/transactions-on-cpmt.html |
Citation | IEEE Transactions on Components, Packaging and Manufacturing Technology, 2017, v. 7 n. 1, p. 39-49 How to Cite? |
Abstract | Volterra series (VS) representation is a powerful mathematical model for nonlinear circuits. However, the difficulties in determining higher order Volterra kernels limited its broader applications. In this paper, a systematic approach that enables a convenient extraction of Volterra kernels from X-parameters is presented. A concise and general representation of the output response due to arbitrary number of input tones is given. The relationship between Volterra kernels and X-parameters is explicitly formulated. An efficient frequency sweep scheme and an output frequency indexing scheme are provided. The least square linear regression method is employed to separate different orders of Volterra kernels at the same frequency, which leads to the obtained Volterra kernels complete. The proposed VS representation based on X-parameters is further validated for time-domain verification. The proposed method is systematic and general-purpose. It paves the way for time-domain simulation with X-parameters and constitutes a powerful supplement to the existing blackbox macromodeling methods for nonlinear circuits. |
Persistent Identifier | http://hdl.handle.net/10722/237136 |
ISSN | 2021 Impact Factor: 1.922 2020 SCImago Journal Rankings: 0.496 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Xiong, XY | - |
dc.contributor.author | Jiang, L | - |
dc.contributor.author | Schutt-Aine, JOSE | - |
dc.contributor.author | Chew, WC | - |
dc.date.accessioned | 2016-12-20T06:48:43Z | - |
dc.date.available | 2016-12-20T06:48:43Z | - |
dc.date.issued | 2017 | - |
dc.identifier.citation | IEEE Transactions on Components, Packaging and Manufacturing Technology, 2017, v. 7 n. 1, p. 39-49 | - |
dc.identifier.issn | 2156-3950 | - |
dc.identifier.uri | http://hdl.handle.net/10722/237136 | - |
dc.description.abstract | Volterra series (VS) representation is a powerful mathematical model for nonlinear circuits. However, the difficulties in determining higher order Volterra kernels limited its broader applications. In this paper, a systematic approach that enables a convenient extraction of Volterra kernels from X-parameters is presented. A concise and general representation of the output response due to arbitrary number of input tones is given. The relationship between Volterra kernels and X-parameters is explicitly formulated. An efficient frequency sweep scheme and an output frequency indexing scheme are provided. The least square linear regression method is employed to separate different orders of Volterra kernels at the same frequency, which leads to the obtained Volterra kernels complete. The proposed VS representation based on X-parameters is further validated for time-domain verification. The proposed method is systematic and general-purpose. It paves the way for time-domain simulation with X-parameters and constitutes a powerful supplement to the existing blackbox macromodeling methods for nonlinear circuits. | - |
dc.language | eng | - |
dc.publisher | IEEE. The Journal's web site is located at http://cpmt.ieee.org/transactions-on-cpmt.html | - |
dc.relation.ispartof | IEEE Transactions on Components, Packaging and Manufacturing Technology | - |
dc.rights | ©2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | - |
dc.subject | Blackbox macromodeling | - |
dc.subject | nonlinear circuits | - |
dc.subject | Volterra series (VS) | - |
dc.subject | X-parameters | - |
dc.title | Volterra Series-Based Time-Domain Macromodeling of Nonlinear Circuits | - |
dc.type | Article | - |
dc.identifier.email | Xiong, XY: xyxiong@hku.hk | - |
dc.identifier.email | Jiang, L: jianglj@hku.hk | - |
dc.identifier.email | Chew, WC: wcchew@hkucc.hku.hk | - |
dc.identifier.authority | Xiong, XY=rp02232 | - |
dc.identifier.authority | Jiang, L=rp01338 | - |
dc.identifier.authority | Chew, WC=rp00656 | - |
dc.description.nature | postprint | - |
dc.identifier.doi | 10.1109/TCPMT.2016.2627601 | - |
dc.identifier.scopus | eid_2-s2.0-85001085926 | - |
dc.identifier.hkuros | 280763 | - |
dc.identifier.volume | 7 | - |
dc.identifier.issue | 1 | - |
dc.identifier.spage | 39 | - |
dc.identifier.epage | 49 | - |
dc.identifier.isi | WOS:000393887900006 | - |
dc.publisher.place | United States | - |
dc.identifier.issnl | 2156-3950 | - |