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  4. STAVES: Speedy tensor-aided Volterra-based electronic simulator

STAVES: Speedy tensor-aided Volterra-based electronic simulator

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Author(s)
Xiong, Xiaoyan Y. Z.
•
Batselier, Kim
•
Jiang, Lijun
•
Wong, Ngai
•
Liu, Haotian
•
Daniel, Luca
•
Wong, Ngai Chuen
Date Issued
November 2015
Journal
2015 IEEE/ACM International Conference on Computer-Aided Design (ICCAD)
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Citation
Liu, Haotian, Xiaoyan Y. Z. Xiong, Kim Batselier, Lijun Jiang, Luca Daniel, and Ngai Wong. “STAVES: Speedy Tensor-Aided Volterra-Based Electronic Simulator.” 2015 IEEE/ACM International Conference on Computer-Aided Design (ICCAD) (November 2015).
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Author's final manuscript
Abstract
Volterra series is a powerful tool for black-box macro-modeling of nonlinear devices. However, the exponential complexity growth in storing and evaluating higher order Volterra kernels has limited so far its employment on complex practical applications. On the other hand, tensors are a higher order generalization of matrices that can naturally and efficiently capture multi-dimensional data. Significant computational savings can often be achieved when the appropriate low-rank tensor decomposition is available. In this paper we exploit a strong link between tensors and frequency-domain Volterra kernels in modeling nonlinear systems. Based on such link we have developed a technique called speedy tensor-aided Volterra-based electronic simulator (STAVES) utilizing high-order Volterra transfer functions for highly accurate time-domain simulation of nonlinear systems. The main computational tools in our approach are the canonical tensor decomposition and the inverse discrete Fourier transform. Examples demonstrate the efficiency of the proposed method in simulating some practical nonlinear circuit structures.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Massachusetts Institute of Technology. Research Laboratory of Electronics
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
http://creativecommons.org/licenses/by-nc-sa/4.0/
Persistent DSpace Link
http://hdl.handle.net/1721.1/110841
DOI of Published Version
https://doi.org/10.1109/ICCAD.2015.7372622
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