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A new approach to compact semiconductor device modelling with Qucs Verilog-A analogue module synthesis.
- Source :
-
International Journal of Numerical Modelling . Nov/Dec2016, Vol. 29 Issue 6, p1070-1088. 19p. - Publication Year :
- 2016
-
Abstract
- Since the introduction of SPICE non-linear controlled voltage and current sources, they have become a central feature in the interactive development of behavioural device models and circuit macromodels. The current generation of SPICE-based open source general public license circuit simulators, including Qucs, Ngspice and Xyce©, implements a range of mathematical operators and functions for modelling physical phenomena and system performance. The Qucs equation-defined device is an extension of the SPICE style non-linear B type controlled source which adds dynamic charge properties to behavioural sources, allowing for example, voltage and current dependent capacitance to be easily modelled. Following, the standardization of Verilog-A, it has become a preferred hardware description language where analogue models are written in a netlist format combined with more general computer programming features for sequencing and controlling model operation. In traditional circuit simulation, the generation of a Verilog-A model from a schematic, with embedded non-linear behavioural sources, is not automatic but is normally undertaken manually. This paper introduces a new approach to the generation of Verilog-A compact device models from Qucs circuit schematics using a purpose built analogue module synthesizer. To illustrate the properties and use of the Qucs Verilog-A module synthesiser, the text includes a number of semiconductor device modelling examples and in some cases compares their simulation performance with conventional behavioural device models. Copyright © 2016 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 08943370
- Volume :
- 29
- Issue :
- 6
- Database :
- Academic Search Index
- Journal :
- International Journal of Numerical Modelling
- Publication Type :
- Academic Journal
- Accession number :
- 118710625
- Full Text :
- https://doi.org/10.1002/jnm.2166