Qucs Frequency Domain Non-Linear Compact Modelling and Simulation of IC Spiral Inductors on Silicon

Brinson, Mike (2018) Qucs Frequency Domain Non-Linear Compact Modelling and Simulation of IC Spiral Inductors on Silicon. In: 25th International Conference-MIXDES, 21-23 June 2018, Gdynia, Poland.

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Abstract / Description

SPICE AC circuit simulation is fundamentally a small signal network analysis of linear or non-linear circuits operating at specified DC bias conditions, where the circuit component values are assumed not to be functions of AC input signal frequency. In the case of RF circuit simulation this assumption can give rise to significant modelling errors. With the recent improvementsinGeneralPublicLicense(GPL)circuitsimulators thissituationischanging,particularlythroughtheintroductionof Frequency Dependent Equation-Defined Device (FEDD) models, non-linear current/voltage static and dynamic Equation-Defined Device (EDD) models and user controlled swept signal frequency simulation employing Harmonic Balance steady state analysis. The main purpose of this paper is to introduce a number of novel modelling and circuit simulation techniques that allow, and enhance, the construction of compact device models with embedded behavioural components whose non-linear properties are functions of AC input signal frequency. To demonstrate these new modelling techniques a compact model for a 10 GHz band width spiral inductor integrated on silicon is introduced, its compact model presented, and finally its simulation performance compared with published measured device data.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Qucs, Qucs-S, Ngspice, Xyce, compact device modelling, Frequency Equation-Defined Devices (FEDD), Equation-Defined Devices (EDD), SPICE B type sources, Harmonic Balance simulation
Subjects: 600 Technology
600 Technology > 620 Engineering & allied operations
Department: School of Computing and Digital Media
Depositing User: Bal Virdee
Date Deposited: 09 Oct 2018 09:30
Last Modified: 09 Oct 2018 09:30
URI: https://repository.londonmet.ac.uk/id/eprint/3478


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