Fast Transformation for DAC Parameters Identification

Modeling of digital-to-analogue converters (DAC´s) and identification of their chief parameters is here dealt with. The attention is focused on a well-known static model accounting for linearity and intermodulation errors, which are of major concern for DAC functional characterization as well as troubleshooting. Estimation of model´s parameters is currently carried out through linear transformations, the application of which is not practical for high resolution DAC´s; also, usable relations for assessing the uncertainty on estimated parameters are not given. The authors introduce a new parameter in the model with the aim of proposing an alternative formulation. Complete identification of the DAC under test can thus be pursued through a new fast transformation, characterized by reduced computational burden and suitable for fully in-place implementation