Due to the rising signal speed in today's integrated circuits (ICs), the digital input/output (I/O) device modeling becomes a very serious challenge. However, its nonlinearity issue was even less addressed. But for accurate EMC and EMI characterizations, the I/O nonlinearity could become a source of unexpected EMC and EMI troubles in the high-speed system. In this paper, we analyze the nonlinearity of high-speed drivers and loads under the influence of various parameters, such as the rising and falling times, data and clock duty cycle distortion (DCD), signal skew, balance of the circuit, etc. Further based on the spectrum property of their nonlinear responses, the possible impacts to EMC and EMI are discussed. Both load and driver's nonlinearity are analyzed. Then using the artificial neural-network (ANN) approaches, the nonlinear behavior of the high-speed digital I/O driver and load are modeled. This work provides a systematic study of the I/O nonlinearity and its behavior modeling process.


Electrical and Computer Engineering

Keywords and Phrases

ANN; EMC; High-Speed Driver; Nonlinearity; Parametric Model

International Standard Book Number (ISBN)


Document Type

Article - Conference proceedings

Document Version


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Publication Date

14 Jan 2016