System-level analog simulation of a mixed-signal continuous-time field programmable analog array
Joachim Becker, Fabian Henrici, Yiannos Manoli
Abstract
Joachim Becker, Fabian Henrici, Yiannos Manoli
Abstract
Field programmable analog arrays (FPAAs) represent analog signal transfer functions, which depend on alterable digital configuration data. They are indispensable if reconfigurable analog signal processing has to be included in a system-on-chip. For system-level design of filter structures as well as accurate transistor-level simulations of the analog transfer function, it is necessary to enter the respective configuration data before phase/magnitude analyses are run. This paper introduces a graphical design-entry tool for an FPAA consisting of 17 g/sub m/-C blocks for instantiation of high-frequency filters. It also reports on first simulation results confirming the feasibility up to corner frequencies of hundreds of MHz. Transfer function simulations of basic building-blocks are compared with theory and lead to an exemplary instantiation of a fourth-order Butterworth-filter.
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Field programmable analog arrays (FPAAs) represent analog signal transfer functions, which depend on alterable digital configuration data. They are indispensable if reconfigurable analog signal processing has to be included in a system-on-chip. For system-level design of filter structures as well as accurate transistor-level simulations of the analog transfer function, it is necessary to enter the respective configuration data before phase/magnitude analyses are run. This paper introduces a graphical design-entry tool for an FPAA consisting of 17 g/sub m/-C blocks for instantiation of high-frequency filters. It also reports on first simulation results confirming the feasibility up to corner frequencies of hundreds of MHz. Transfer function simulations of basic building-blocks are compared with theory and lead to an exemplary instantiation of a fourth-order Butterworth-filter.
Key concepts: Field-programmable analog array, Transfer function, Analog signal processing, Analogue filter, Filter (signal processing), Computer science, Analog signal, SIGNAL (programming language)