A Qualification Approach to DAC Mismatch-Shaping Methods

Abstract

Linearizing a digital-to-analog converter by mismatch noise shaping is popular particularly in the art of Delta-Sigma converters. This work proposes a procedure for characterizing and benchmarking the shaping methods. The proposed approach provides five graphical figures of merit related to in-band spurious level and noise floor. In our case-studies, we will concentrate on the data-weighted averaging method with low- and bandpass shaping alongside a combination of two-tone suppression methods.