Optimization of the noise transfer function of Extended-Frequency-Band-Decomposition sigma-delta A/D converters

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.