New Effective Architectures and Conversion Algorithms for Adaptive Sub-ranging A/D Converters
Konrad Jedrzejewski
Abstract:
The paper is devoted to the new effective architectures and conversion algorithms used in adaptive sub-ranging analog-to-digital converters (ADCs) whose digital parts allow the iterative calculation of output codes using digital estimation algorithms. Two classes of adaptive sub-ranging ADCs, i.e. recursive (cyclic) and pipeline ADCs, are considered in the paper. The paper develops the earlier research on the adaptive sub-ranging ADCs and removes the crucial disadvantages of these converters simplifying their architectures, i.e. decreasing significantly the high resolution of internal D/A sub-converters and very large values of internal amplifiers gains. The appropriate new conversion algorithms and the results of simulation experiments which compare ADC employing the proposed converter with the existing pipeline ADC are presented and discussed.
