Optimization of the Noise Transfer Function of Extended-Frequency-Band-Decomposition sigma-delta A/D converters

Ali Beydoun (1) , Philippe Benabes (1) , Jacques Oksman (1)

1 SUPELEC-Campus Gif

Frequency-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.

Domains: Electronics; Signal and Image processing; Signal and Image Processing

Ali Beydoun, Philippe Benabes, Jacques Oksman. Optimization of the Noise Transfer Function of Extended-Frequency-Band-Decomposition sigma-delta A/D converters. IEEE-NEWCAS TAISA Traitement Analogique de l'Information, du Signal et ses Applications., Jun 2008, Montreal, Canada. pp. 193-196, ⟨10.1109/NEWCAS.2008.460354⟩. ⟨hal-00270096⟩