A spherical simplex unscented Kalman filter with smart sigma-point processing for estimations in CT &amp;#x03A3;&amp;#x0394; modulators

Lorenz, Matthias; Maurer, Michael; Manoli, Yiannos; Ortmanns, Maurits

doi:10.1109/newcas.2014.6933993

Cited by 1 publication

(2 citation statements)

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“…Also numerical stability and computational complexity of the estimator highly depend on this part of the algorithm. For our application we previously proposed to use the spherical simplex unscented transformation [36], [37]. This approach performs well on the task, improves numerical stability and reduces the number of computations by almost a factor of two, compared to the commonly used general unscented transformation [37].…”

Section: A Choosing Sigma-pointsmentioning

confidence: 99%

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Estimation of Non-Idealities in Sigma-Delta Modulators for Test and Correction Using Unscented Kalman Filters

Lorenz

Ritter

Anders

et al. 2015

IEEE Trans. Circuits Syst. I

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In this paper, an enhanced unscented Kalman filter is used for the estimation of non-idealities in sigma-delta modulators. As sigma-delta modulator based analog-to-digital converters are known to be prone to performance degradation from many circuit non-idealities, testing and selection of the manufactured chips as well as post-correction procedures are required to ensure a reliable performance. In contrast to most state-of-the art techniques, the proposed estimator is capable of simultaneously tracking a large set of non-ideal parameters with high accuracy and in a very short offline time within the range of microseconds. Three possible implementations are proposed and it is shown how the technique is used to perform an in situ non-ideality estimation and subsequent calibration of a manufactured chip, bringing the modulator back into its designed performance range. It is further demonstrated that the estimator can reliably detect the non-idealities over a wide range when intentionally degrading the performance of the chip by manually sweeping its trimming parameters. The presented hardware measurement results prove that the proposed technique is practically applicable to the test and/or calibration of sigma-delta data converters.

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Section: A Choosing Sigma-pointsmentioning

confidence: 99%

“…6, the 5 filter parameters are collected and arranged accordingly-hence already after the seventh SP, the variables are constant and so is the filter model. Applying this smart SP processing as proposed in [37], the part of the code containing the call to the model calculation can be restricted to the first 7 SPs.…”

Section: A Software Based (Matlab)mentioning

confidence: 99%