Int. J. Metrol. Qual. Eng.
Volume 8, 2017
|Number of page(s)||12|
|Published online||23 May 2017|
Design and implementation of a platform for experimental testing and validation of analog-to-digital converters: static and dynamic parameters
University of Carthage, National Institute of Applied Sciences and Technology, INSAT, Research Laboratory “Materials, Measurements and Applications”,
Centre Urbain Nord, BP676,
Tunis Cedex, Tunisia
2 University of Sfax, National Engineering School of Sfax, ENIS, Research Unit in Micro-Electro-Thermal Systems METS, BP 1173-3038, km 3.5, Sfax, Tunisia
⁎ Corresponding author: firstname.lastname@example.org
Accepted: 2 May 2017
This paper presents an implementation of a data acquisition system for analog-to-digital converters (ADCs) using “Laboratory Virtual Instrument Engineering Workbench (LabVIEW)” as software for data analysis. The designed and implemented platform allows interaction with the device under test through means of data acquisition and instrument controls. Developing custom tests in LabVIEW can result in reduced test time, which in turn will help reduce costs in testing. This system was developed for evaluation purposes of ADC's static and dynamic parameters (gain error, offset error, DNL, INL, SNR, SINAD, IMD, etc.) using single and multi-frequency signals. The virtual control and analysis instrument was created in “LabVIEW” environment to control test signals generation and data acquisition. The testing performance of the platform is demonstrated using the classical ADC circuit “ADC0804”. A comparison with experimental results obtained by CANTEST platform from Bordeaux University (France) is also presented to highlight our platform.
Key words: analog-to-digital converter / static and dynamic specifications / spectral analysis / LabVIEW environment / testing and validation
© I.B. Mansour et al., published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.