STAVES: Speedy tensor-aided Volterra-based electronic simulator
Author(s)Xiong, Xiaoyan Y. Z.; Batselier, Kim; Jiang, Lijun; Wong, Ngai; Liu, Haotian; Daniel, Luca; Wong, Ngai Chuen; ... Show more Show less
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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.
DepartmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science; Massachusetts Institute of Technology. Research Laboratory of Electronics
2015 IEEE/ACM International Conference on Computer-Aided Design (ICCAD)
Institute of Electrical and Electronics Engineers (IEEE)
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).
Author's final manuscript