As one of the key components in signal processing system, Analog-to-digital converter (ADC) devices play a fundamental role in interfacing the processing core with the analogue world. ADC nonlinear errors limit the performance of signal-processing systems, Identified ADC models could be used to estimate an inverse calibration model in order to compensate the errors and increase the converter dynamic range. This paper presents a novel time-delay-based power series modeling method to identify ADC nonlinear behavior considering phase effects. Also, a set of simulations and experimental results is given, spurious-free dynamic range (SFDR), evaluated before and after calibration, proves the validity and preciseness of the ADC nonlinearity model.
Index Terms:
ADC nonlinearity, power series, Time-delay-Based modeling
Citation:
Peng Juan, Ma Hong, Tian Chen, "Modeling of ADC Nonlinearity by Time-Delay-Based Power Series," ams, pp.1048-1053, 2008 Second Asia International Conference on Modelling & Simulation, 2008