Convergence in synchronous measurements
Paper
Paper/Presentation Title | Convergence in synchronous measurements |
---|---|
Presentation Type | Paper |
Authors | Leis, John (Author) and Buttsworth, David (Author) |
Editors | Wysocki, Beata J. and Wysocki, Tadeusz A. |
Journal or Proceedings Title | Proceedings of the 8th International Conference on Signal Processing and Communication Systems (ICSPCS 2014) |
ERA Conference ID | 50821 |
Number of Pages | 6 |
Year | 2015 |
Place of Publication | United States |
ISBN | 9781479952557 |
Digital Object Identifier (DOI) | https://doi.org/10.1109/ICSPCS.2014.7021090 |
Web Address (URL) of Paper | https://ieeexplore.ieee.org/document/7021090 |
Conference/Event | 2014 8th International Conference on Signal Processing and Communication Systems (ICSPCS 2014) |
International Conference on Signal Processing and Communication Systems | |
Event Details | 2014 8th International Conference on Signal Processing and Communication Systems (ICSPCS 2014) Parent International Conference on Signal Processing and Communication Systems Delivery In person Event Date 15 to end of 17 Dec 2014 Event Location Gold Coast, Australia |
Event Details | International Conference on Signal Processing and Communication Systems ICSPCS |
Abstract | Synchronous detection using phase-quadrature reference signals is widely employed as a demodulation technique in communication systems. It also finds application in sensitive measurement systems, where the goal is to estimate the gain of an unknown system which is excited by a sinusoidal or square waveform. In measurement systems, longer integration times are the necessary tradeoff for accuracy in very poor signal-to-noise environments. As a result, is difficult to determine when the measurement has stabilized. This paper proposes a novel convergence estimator which yields an asymptotic estimate of relative error. This paper motivates the need for a convergence test and presents an algorithm to address the problem. Simulation results are used to verify the underlying concepts, and experimental results using real measurements are given to show the applicability of the technique. |
Keywords | noise measurement; signal detection; synchronous detection |
ANZSRC Field of Research 2020 | 400907. Industrial electronics |
400607. Signal processing | |
400801. Circuits and systems | |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | School of Mechanical and Electrical Engineering |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q29xv/convergence-in-synchronous-measurements
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