“Split ADC” Calibration for All-Digital Correction of Time-Interleaved ADC Errors

McNeill, John; David, Christopher; Coln, Michael C. W.; Croughwell, R.

doi:10.1109/tcsii.2009.2019161

Cited by 42 publications

(18 citation statements)

References 13 publications

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“…14 shows post-calibration SNDR versus the order of the FIR differentiator (the 3-tap FIR is the filter in [8], the other cases are for Thiran differentiators). Table III allows appreciating the effect of the calibration of nonlinearities of the individual ADCs: if nonlinear errors (due to the 's in the MDAC stages) are present but not calibrated, they limit ADC final linearity after mismatch terms have been corrected.…”

Section: Simulation Resultsmentioning

confidence: 99%

“…Fig. 3 also shows the amplitude error for the 3-tap FIR differentiator used in [8], that presents a much narrower bandwidth.…”

Section: The Calibration Algorithmmentioning

confidence: 99%

“…McNeill et al in [8] use a least mean squares (LMS) loop in a split-ADC [9] architecture to estimate offset, gain and timing errors in the background, by approximating the timing delay with a first-order Taylor expansion, and calculating the first-order derivative with a three-tap FIR filter. Oshima et al in [10] use a higher-order FIR approximation to estimate the derivative, and correct also for the second-order Taylor expansion term (dependent on the second-order derivative).…”

Section: Introductionmentioning

confidence: 99%

“…Oshima et al in [10] use a higher-order FIR approximation to estimate the derivative, and correct also for the second-order Taylor expansion term (dependent on the second-order derivative). Also in this case a LMS procedure is used to estimate the errors: an additional channel is used as reference ADC, whereas in [8] the split-ADC technique is exploited to have two active channels for every sample.…”

Section: Introductionmentioning

confidence: 99%

“…Constraints on the class of the input signals can also be present. This paper builds on [8] and [10] to obtain a faster calibration of TI pipeline ADCs in a wider fraction of the Nyquist band. The proposed technique corrects both for errors due to mismatches between the interleaved channels and for nonlinear errors of the constituent channels at the same time, and allows wideband input signals spanning most of the Nyquist band, and also signals in the successive Nyquist bands.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Efficient Digital Background Calibration of Time-Interleaved Pipeline Analog-to-Digital Converters

Centurelli

Monsurrò

Trifiletti

2012

IEEE Trans. Circuits Syst. I

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A novel technique for the digital background calibration of time-interleaved analog-to-digital converters is proposed. The technique corrects at the same time for both errors due to gain, offset and timing mismatches among the time-interleaved channels and errors due to nonlinearities in the channels, for instance due to capacitor mismatches in switched capacitor implementations. This feature, together with the use of the recursive least mean squares algorithm, makes the technique particularly fast (12 bits of accuracy can be achieved after about 4000 samples for a two-channel converter). The proposed calibration technique employs wideband differentiators, thus enabling digital background calibration of timing skews even with wideband input signals. Besides, undersampled differentiator filters are proposed, and it is shown that the technique is capable of calibrating undersampling converters by estimating the derivative of wideband input signals even outside the first Nyquist band

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Section: Simulation Resultsmentioning

confidence: 99%

“…Fig. 3 also shows the amplitude error for the 3-tap FIR differentiator used in [8], that presents a much narrower bandwidth.…”

Section: The Calibration Algorithmmentioning

confidence: 99%