Automatic Detection, Estimation, and Validation of Harmonic Components in Measured Power Spectra: All-in-One Approach

The detection of periodic components buried in noise is a general problem in various engineering fields. The amplitudes in the frequency domain of a disturbed signal follow Rice distribution, which is fully described by two parameters. Most methods are restricted to automatically detecting the harmo...

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Bibliographic Details
Published in:IEEE transactions on instrumentation and measurement 2011-03, Vol.60 (3), p.1061-1069
Main Authors: Barbe, Kurt, Van Moer, Wendy
Format: Article
Language:English
Subjects:
Discriminant analysis
Frequency measurement
Harmonic analysis
harmonic distortions
Noise measurement
Power measurement
power spectrum
Power system harmonics
rice distribution
signal processing/analysis
Signal to noise ratio
spectrum analyzer measurements
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Summary:The detection of periodic components buried in noise is a general problem in various engineering fields. The amplitudes in the frequency domain of a disturbed signal follow Rice distribution, which is fully described by two parameters. Most methods are restricted to automatically detecting the harmonic components. In this paper, we extend the methodology to detect significant harmonics in measured spectra such that, aside from detection, the magnitude of the harmonic component is also estimated, together with the probability that the harmonic component was incorrectly detected.
ISSN:0018-9456
1557-9662
DOI:10.1109/TIM.2010.2062710