Adaptive digital correction of analog errors in MASH ADCs. II. Correction using test-signal injection

Kiss, P.; Silva, J.; Wiesbauer, A.; Sun, Tao; Moon, Un-Ku; Stonick, J.T.; Temes, Gábor C.

doi:10.1109/82.850422

Cited by 91 publications

(34 citation statements)

References 16 publications

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“…1(a). Ideally, the circuit implements the function (1) with gain controlled by the design geometry of capacitors and . In practice, (1) is affected by the following factors.…”

Section: A Sources Of Analog Imprecisionmentioning

confidence: 99%

“…A particular on-line scheme is "test injection" [1], [12], [14], which additively injects reference signals onto the nodes in between stages in Fig. 3, and adaptively cancels the corresponding NTF terms in (10) ( ) by auto-zeroing the contribution to through matched filtering of with .…”

Section: On-line Reference-based Calibrationmentioning

confidence: 99%

“…Off-line and on-line calibration techniques are presented and demonstrated with behavioral simulation examples in Section IV. Finally, we conclude in Section VI which also opens the subject of the companion paper [1]. …”

mentioning

confidence: 99%

“…Both techniques apply to general multistage structures of cascaded delta-sigma modulators, with multibit quantization in the last stage [2] or an additional multibit quantizer as output stage [5]. The second part sequel to this paper [1] describes another adaptive method, where test signals are injected at critical points of the architecture and their contributions auto-zeroed at the output.…”

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confidence: 99%

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Adaptive digital correction of analog errors in MASH ADCs. I. Off-line and blind on-line calibration

Cauwenberghs

Temes

2000

IEEE Trans. Circuits Syst. II

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Abstract-Cascaded delta-sigma (MASH) modulators for higher order oversampled analog-to-digital conversion rely on precise matching of contributions from different quantizers to cancel lower order quantization noise from intermediate delta-sigma stages. This first part of the paper studies the effect of analog imperfections in the implementation, such as finite gain of the amplifiers and capacitor ratio mismatch, and presents algorithms and architectures for digital correction of such analog imperfections, as well as gain and spectral distortion in the signal transfer function. Digital correction is implemented by linear finite-impulse response (FIR) filters, of which the coefficients are determined through adaptive off-line or on-line calibration. Of particular interest is an on-line "blind" calibration technique, that uses no reference and operates directly on the digital output during conversion, with the only requirement on the unknown input signal that its spectrum be bandlimited. Behavioral simulations on dual-quantization oversampled converters demonstrate near-perfect adaptive correction and significant improvements in signal-to-quantization-noise performance over the uncalibrated case, using as few as 5 FIR coefficients. An alternative on-line adaptation technique using test signal injection and experimental results from silicon are presented in the second part, in a companion paper [1].

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“…1(a). Ideally, the circuit implements the function (1) with gain controlled by the design geometry of capacitors and . In practice, (1) is affected by the following factors.…”

Section: A Sources Of Analog Imprecisionmentioning

confidence: 99%

Section: On-line Reference-based Calibrationmentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

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Adaptive digital correction of analog errors in MASH ADCs. I. Off-line and blind on-line calibration

Cauwenberghs

Temes

2000

IEEE Trans. Circuits Syst. II

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“…However, like the inevitable mismatch of the analog components, the non-ideality of multi-bit quantization causes signal distortion and degrades the performance of the modulators. Recently, there are some research works presenting different digital techniques for correcting errors in mash ADC's, such as adaptive filter approach (Cauwenberghs et al, 2000), (Kiss et al, 2000), robust control approach (Gani, 2005), (Yang et al, 2006), and the other techniques (Leger et al, 2004), (Siragusa et al, 2000), (Plekhanov et al, 2003), (Yu, Shiang-Hwua, 2006). Stability analysis and design of a single-stage modulator using sliding mode control approach has been addressed in (Plekhanov et al, 2003), (Yu, Shiang-Hwua, 2006).…”

Section: Introductionmentioning

confidence: 99%

Robust Filter Design for Sigma-Delta Modulators with One-Bit Quantizer and Analog Mismatch

Chou

Lin

2008

IFAC Proceedings Volumes

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Abstract:A method for improving the signal-to-noise ratio (SNR) of single-stage sigma-delta modulators (SDMs) with one-bit quantizer is presented. It is well known that uncertainties and noises are sources of error which cause performance degradation. Specifically, the modulators are naturally subject to analog mismatch in capacitor values and finite amplifier gain, which are manifested as parametric uncertainties of the SDMs, whereas the quantization error due to the coarse quantizer is modeled as a bounded-peak additive noise. Robust stability margin optimization and suppression of the output swing of the non-ideal integrators are also considered in the integral design. Based on a frequently used linear model, we propose a new architecture for the SDMs. The associated digital filter is determined by robust control theory. For numerical illustration, comparisons between the proposed SDM and the conventional one are made. It is shown that the proposed SDM has an effective resolution of 16 bits.

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Circuits and Errors: Systematic Analysis and Practical Design Issues

Rosa

2013

CMOS Sigma‐Delta Converters

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Adaptive digital correction of analog errors in MASH ADCs. II. Correction using test-signal injection

Cited by 91 publications

References 16 publications

Adaptive digital correction of analog errors in MASH ADCs. I. Off-line and blind on-line calibration

Adaptive digital correction of analog errors in MASH ADCs. I. Off-line and blind on-line calibration

Robust Filter Design for Sigma-Delta Modulators with One-Bit Quantizer and Analog Mismatch

Circuits and Errors: Systematic Analysis and Practical Design Issues

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