Abstract
Acoustic particle velocity can be estimated from LDV measurements. The amplitude and phase of the velocity are inferred from adapted signal processing of the LDV signal. Many investigations covering a wide range of signal processing method have been developed to analyze this signal, such as the adaptation to techniques developed in fluid mechanics based on the random sampling principle or photo-correlation estimation using the temporal amplitude variation. Time-frequency representations are also used to estimate velocity parameters using the estimation of the instantaneous frequency of the signal.
The best result obtained up to now, in the configuration of low displacement of the particle, has been realized with the use of parametric time-frequency estimators. To further extend the estimation capability to lower displacement, two parametric methods, the maximum likelihood (ML) and the least squares (LS) estimators, using a priori information of the signal, are developed. Their estimation capabilities are evaluated on simulated signals and a preliminary testing with experimental signals is presented.
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© 2002 Springer-Verlag Berlin Heidelberg
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Mellet, C., Valiere, J.C. (2002). Maximum likelihood approaches for sound field measurement using LDV. In: Laser Techniques for Fluid Mechanics. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-08263-8_6
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DOI: https://doi.org/10.1007/978-3-662-08263-8_6
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-07677-0
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