Characterization and Compensation of Dynamic Non-Linearities in Digital Data Acquisition Channels by Means of the Discrete-Time Convolution Model

P.A. Traverso, G. Pasini, A. Raffo, D. Mirri, G. Iuculano, F. Filicori
Abstract:
A technology-independent, behavioural non-linear dynamic model, which has been previously proposed by the authors for the accurate experimental characterization of digital acquisition channels, is considered in this paper for the compensation of the overall non-idealities within these measurement subsystems. It is shown how the non-linear dynamic equations of the model, which inherently describe both the static and the dynamic non-linearities affecting the channel, can be numerically inverted, allowing for the reconstruction of the spectrum at the input of the system from the corrupted samples available at its output. Different recursive algorithms for the solution of the non-linear problem involved into the procedure proposed are described. The choice among these can be accomplished according to the applicationdependent best trade-off between numerical convergence robustness and computational cost. Experimental results are provided, which validate the technique proposed.
Download:
IMEKO-TC4-2005-069.pdf
DOI:
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Event details
IMEKO TC:
TC4
Event name:
TC4 Workshop 2005
Title:

10th IMEKO TC4 International Workshop on ADC Modelling and Testing - IWADC (together with XIVth IMEKO TC4 International Symposium on New Technologies in Measurement and Instrumentation)

Place:
Gdynia/Jurata, POLAND
Time:
12 September 2005 - 15 September 2005