Principles of optimisation, modelling and testing of intelligent cyclic A/D converters

Abstract

The goal of the paper is a discussion of possibilities, methods and results of application of the optimal signal processing technique to design and optimisation of the cyclic A/D converters (CADC). New effects appearing in CADC computing the codes of the input samples using optimal signal processing algorithms and long-word binary arithmetic, are analysed. There is shown that the intelligent CADC (ICADC) built on this principle most efficiently utilise the resources of their analogue and digital parts, and their performance may achieve theoretically available upper boundaries. Analytical expressions for upper boundaries of sub-optimal ICADC resolution, speed of conversion and information capacity are presented. Principles of ICADC computer analysis and assessment of their performance, as well as the questions of practical implementation of the converters are discussed.