Abstract
Volterra series representation is a powerful mathematical model for nonlinear devices. However, the difficulties in determining higher-order Volterra kernels limited its broader applications. This paper proposed a systematic approach that enables a convenient extraction of Volterra kernels from X-parameters for the first time. Then the Vandermonde method is employed to separate different orders of Volterra kernels at the same frequency, which leads to a highly efficient extraction process. The proposed Volterra series representation based on X-parameters is further benchmarked for verification. The proposed new algorithm is very useful for the blackbox macro-modeling of nonlinear devices and systems.
Recommended Citation
X. Y. Xiong et al., "Blackbox Macro-modeling Of The Nonlinearity Based On Volterra Series Representation Of X-parameters," 2014 IEEE 23rd Conference on Electrical Performance of Electronic Packaging and Systems, EPEPS 2014, pp. 85 - 88, article no. 7103601, Institute of Electrical and Electronics Engineers, Jan 2014.
The definitive version is available at https://doi.org/10.1109/EPEPS.2014.7103601
Department(s)
Electrical and Computer Engineering
Keywords and Phrases
macro-modeling; Volterra series; X-parameters
International Standard Book Number (ISBN)
978-147993641-0
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2024 Institute of Electrical and Electronics Engineers, All rights reserved.
Publication Date
01 Jan 2014
