Abstract
This paper starts with the introduction of the architecture model of the data acquisition system, In this module, a number of factors are involved in influencing the data acquisition system. The theoretical analysis and deduction result of the various confounding factors, such as the additive noise n0 (t) of signal source, the ripple noise of supply power and the jitter of clock, etc have later been described in this paper. The above three factors influence the signal-to-noise ratio (SNR) formula of data acquisition system, which has been derived from the above analysis, and then it gets a constraint condition for the optimize design. At last, it introduces a multiple parameters simulation module that is established in the software ADS2008, and with the help of this simulation module tries to get the simulation results to verify the correctness of the above theoretical deduction. So the technical problem of optimizing design for data acquisition systems under the influence of multiple factors has been solved in the paper, showing its great significance in the real applications.
International Journal of Sensors, Wireless Communications and Control
Title:Research on Optimize Design for Multidimensional Parameter Constraint of Data Acquisition System
Volume: 2 Issue: 3
Author(s): Huiyong Sun and Peng Cao
Affiliation:
Keywords: Noise, jitter, ripple, SNR
Abstract: This paper starts with the introduction of the architecture model of the data acquisition system, In this module, a number of factors are involved in influencing the data acquisition system. The theoretical analysis and deduction result of the various confounding factors, such as the additive noise n0 (t) of signal source, the ripple noise of supply power and the jitter of clock, etc have later been described in this paper. The above three factors influence the signal-to-noise ratio (SNR) formula of data acquisition system, which has been derived from the above analysis, and then it gets a constraint condition for the optimize design. At last, it introduces a multiple parameters simulation module that is established in the software ADS2008, and with the help of this simulation module tries to get the simulation results to verify the correctness of the above theoretical deduction. So the technical problem of optimizing design for data acquisition systems under the influence of multiple factors has been solved in the paper, showing its great significance in the real applications.
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Cite this article as:
Sun Huiyong and Cao Peng, Research on Optimize Design for Multidimensional Parameter Constraint of Data Acquisition System, International Journal of Sensors, Wireless Communications and Control 2012; 2 (3) . https://dx.doi.org/10.2174/2210327911202030008
DOI https://dx.doi.org/10.2174/2210327911202030008 |
Print ISSN 2210-3279 |
Publisher Name Bentham Science Publisher |
Online ISSN 2210-3287 |
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