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The gm/ID Methodology, a sizing tool for low-voltage analog CMOS Circuits

Bag om The gm/ID Methodology, a sizing tool for low-voltage analog CMOS Circuits

In "The gm/ID Methodology, a Sizing Tool for Low-Voltage Analog CMOS Circuits", we compare the semi-empirical to the compact model approach. Small numbers of parameters make the compact model attractive for the model paves the way towards analytic expressions unaffordable otherwise. The E.K.V model is a good candidate, but when it comes to short channel devices, compact models are either inaccurate or loose straightforwardness. Because sizing requires basically a reliable large signal representation of MOS transistors, we investigate the potential of the E.K.V model when its parameters are supposed to be bias dependent. The model-driven and semi-empirical methods are compared considering the Intrinsic Gain Stage and a few more complex circuits. A series of MATLAB files found on extras-springer.com allow redoing the tests.

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9781461425052
  • Indbinding:
  • Paperback
  • Sideantal:
  • 188
  • Udgivet:
  • 3. maj 2012
  • Størrelse:
  • 155x11x235 mm.
  • Vægt:
  • 295 g.
  • BLACK NOVEMBER
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Leveringstid: 8-11 hverdage
Forventet levering: 7. december 2024

Beskrivelse af The gm/ID Methodology, a sizing tool for low-voltage analog CMOS Circuits

In "The gm/ID Methodology, a Sizing Tool for Low-Voltage Analog CMOS Circuits", we compare the semi-empirical to the compact model approach. Small numbers of parameters make the compact model attractive for the model paves the way towards analytic expressions unaffordable otherwise. The E.K.V model is a good candidate, but when it comes to short channel devices, compact models are either inaccurate or loose straightforwardness. Because sizing requires basically a reliable large signal representation of MOS transistors, we investigate the potential of the E.K.V model when its parameters are supposed to be bias dependent. The model-driven and semi-empirical methods are compared considering the Intrinsic Gain Stage and a few more complex circuits. A series of MATLAB files found on extras-springer.com allow redoing the tests.

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