Nonlinearity correction for multibit /spl Delta//spl Sigma/ DACs

Arias, J.; Kiss, P.; Boccuzzi, V.; Quintanilla, L.; Enríquez, Lourdes; Vicente, J. L.; Bisbal, D.; Pablo, Juan; Barbolla, J.

doi:10.1109/tcsi.2005.849102

Cited by 10 publications

(2 citation statements)

References 20 publications

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“…9. In addition to the uniform quantization error, the error due to element mismatch can also be compensated by adding the measured INL to the quantization error estimate 29,30 , hence digitally calibrating the quantizer model. Generating the error estimate this way is referred to as an open-loop estimator or observer in control theory 63 .…”

Section: Noise-shaping With Digital Calibrationmentioning

confidence: 99%

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Existing methods for improving the accuracy of digital-to-analog converters

Eielsen

Fleming

2017

Review of Scientific Instruments

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The performance of digital-to-analog converters is principally limited by errors in the output voltage levels. Such errors are known as element mismatch and are quantified by the integral non-linearity. Element mismatch limits the achievable accuracy and resolution in high-precision applications as it causes gain and offset errors, as well as harmonic distortion. In this article, five existing methods for mitigating the effects of element mismatch are compared: physical level calibration, dynamic element matching, noise-shaping with digital calibration, large periodic high-frequency dithering, and large stochastic high-pass dithering. These methods are suitable for improving accuracy when using digital-to-analog converters that use multiple discrete output levels to reconstruct time-varying signals. The methods improve linearity and therefore reduce harmonic distortion and can be retrofitted to existing systems with minor hardware variations. The performance of each method is compared theoretically and confirmed by simulations and experiments. Experimental results demonstrate that three of the five methods provide significant improvements in the resolution and accuracy when applied to a general-purpose digital-to-analog converter. As such, these methods can directly improve performance in a wide range of applications including nanopositioning, metrology, and optics.

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Section: Noise-shaping With Digital Calibrationmentioning

confidence: 99%

“…Better accuracy can also be obtained using averaging techniques, such as dynamic element matching 12,[22][23][24][25] , large periodic high-frequency dithering 26 , and large high-pass noise dithering 27,28 . Noise-shaping (∆-Σ modulation) with digital calibration [29][30][31] can improve accuracy due to observer-based feedback control.…”

Section: Introductionmentioning

confidence: 99%