Convergence in synchronous measurements

Leis, John and Buttsworth, David (2015) Convergence in synchronous measurements. In: 8th International Conference on Signal Processing and Communication Systems (ICSPCS 2014), 15-17 Dec 2014, Gold Coast, Australia.

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.


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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Additional Information: © 2014 IEEE. Permanent restricted access to published version due to publisher copyright policy. Conference website: http://www.dspcs-witsp.com/icspcs_2014/.
Faculty / Department / School: Current - Faculty of Health, Engineering and Sciences - School of Mechanical and Electrical Engineering
Date Deposited: 18 Feb 2015 23:30
Last Modified: 13 Sep 2016 04:47
Uncontrolled Keywords: noise measurement; signal detection; synchronous detection
Fields of Research : 09 Engineering > 0906 Electrical and Electronic Engineering > 090603 Industrial Electronics
09 Engineering > 0906 Electrical and Electronic Engineering > 090609 Signal Processing
09 Engineering > 0906 Electrical and Electronic Engineering > 090601 Circuits and Systems
Socio-Economic Objective: B Economic Development > 86 Manufacturing > 8615 Instrumentation > 861501 Industrial Instruments
Identification Number or DOI: 10.1109/ICSPCS.2014.7021090
URI: http://eprints.usq.edu.au/id/eprint/25985

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