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Direct extraction of small-signal model parameters for nanoscale MOSFETs

机译:直接提取纳米级MOSFET的小信号模型参数

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A small-signal model of a nanoscale MOSFET becomes very important for designing RFICs and characterizing processes and devices. To extract parasitic resistances and inductances, a direct method presented in D. Lovelace et al. (1994) based on S-parameter measurements at zero bias is developed, but the assumption of zero transconductance (ggm) and output conductance (gds) at external Vgs=0V is not valid in real MOSFETs. Thus, Z-parameter extraction equations as stated in D. Lovelace et al. (1994) result in significant error according to the selected frequency range. Another extraction method according to S. Lee (2003) using a linear regression of high-frequency data has been proposed to determine resistances and inductances, but much higher frequency data are required to apply for nanoscale MOSFETs, because of high gm and gds. In this paper, a direct method to extract resistances and inductances of nanoscale MOSFETs is proposed using a linear regression of high-frequency data at zero gate voltage.
机译:纳米级MOSFET的小信号模型对于设计RFIC以及表征工艺和器件非常重要。为了提取寄生电阻和电感,D。Lovelace等人提出了一种直接方法。 (1994)提出了基于零偏置下S参数测量的方法,但是假设在外部Vgs时零跨导(g gm )和输出电导(g ds )的假设为: 0V在实际的MOSFET中无效。因此,如D.Lovelace等人所述,Z参数提取方程式。 (1994年)根据选定的频率范围导致重大误差。根据S. Lee(2003)的另一种提取方法,已提出使用高频数据的线性回归来确定电阻和电感,但是由于高g m,因此对于纳米级MOSFET,需要更高的频率数据和g ds 。在本文中,提出了一种在零栅极电压下使用高频数据的线性回归来提取纳米级MOSFET电阻和电感的直接方法。

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