Data covariance estimation for geoacoustic inversion


  • Stan E. Dosso School of Earth and Ocean Sciences, University of Victoria, Victoria, BC V8W 3P6, Canada


Correlation methods, Data reduction, Error analysis, Mathematical models, Parameter estimation, Uncertain systems, Acoustic pressure, Data covariance estimation, Geoacoustic inversion


The estimation of data-error correlations to form a full covariance matrix that is explicitly incorporated into the inversion procedure, is presented. Matched-field geoacoustic inversion is based on estimating a model of seabed geoacoustic parameters by matching complex acoustic pressure fields. Neglecting significant error correlations represents the data as more informative than they actually are and leads to under-estimating parameter uncertainties. Incorporating full covariance matrices in the inversion leads to essentially uncorrelated standardized residuals.

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How to Cite

Dosso SE. Data covariance estimation for geoacoustic inversion. Canadian Acoustics [Internet]. 2005 Sep. 1 [cited 2024 Jul. 23];33(3):14-5. Available from:



Proceedings of the Acoustics Week in Canada

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