A Hilbert Transform based method for dynamic phase difference measurement

It is required in many applications to measure the phase difference of sinusoid signals with same frequency precisely and timely. And here is a method proposed for dynamic phase difference detection, which includes three procedures. After using singular value decomposition algorithm to filter the si...

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Bibliographic Details
Main Authors: Huiyue Yang, Yaqing Tu, Haitao Zhang, Kanghui Yang
Format: Conference Proceeding
Language:English
Subjects:
Coriolis Mass Flowmeter
Discrete Fourier transforms
Electric variables measurement
Frequency measurement
Hilbert Transform
Instruments
Phase Difference Measurement
Phase measurement
Singular value decomposition
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Description
Summary:It is required in many applications to measure the phase difference of sinusoid signals with same frequency precisely and timely. And here is a method proposed for dynamic phase difference detection, which includes three procedures. After using singular value decomposition algorithm to filter the signals, the ±π/2 phase-shift function of original sinusoid is obtain by Hilbert transform. And under this foundation the phase difference can be figured out by triangle transform and some simple operations. Simulation results illustrate that the proposed method can accurately estimate the rapidly-changed phase difference, while the sliding Goertzel algorithm (SGA) is applicable only when the phase difference varies slowly. The availability of the proposed method is also demonstrated by a practical application in Coriolis mass flowmeters (CMF).
ISSN:1948-9439
1948-9447
DOI:10.1109/CCDC.2012.6244663