Open AccessOptimization of the Noise Transfer Function of Extended-Frequency-Band-Decomposition sigma-delta A/D converters
Author(s) -
Ali Beydoun,
Philippe Bénabès,
J. Oksman
Publication year - 2008
Publication title -
hal (le centre pour la communication scientifique directe)
Language(s) - English
Resource type - Conference proceedings
DOI - 10.1109/newcas.2008.460354
Subject(s) - transfer function , delta sigma modulation , converters , sigma , decomposition , noise (video) , electronic engineering , function (biology) , computer science , physics , electrical engineering , telecommunications , engineering , artificial intelligence , bandwidth (computing) , chemistry , organic chemistry , quantum mechanics , voltage , evolutionary biology , image (mathematics) , biology
International audienceFrequency-Band-Decomposition (FBD) is a good candidate to increase the bandwidths of ADC converters based on sigma-delta modulators. Each modulator processes a part of the input signal band and is followed by a digital filter. In the case of large mismatches in the analog modulators, a new solution, called Extended Frequency-Band-Decomposition (EFBD) can be used. This solution allows for, for example, a four percent error in the central frequencies without significant degradation in the performance when the digital processing part is appeared to the analog modulators. A calibration of the digital part is thus required to reach these theoretical performance. This paper will focus on a self-calibration algorithm for an EFBD. The algorithm helps minimize the quantization noise of the EFBD