Data covariance estimation for geoacoustic inversion

Authors

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

Keywords:

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

Abstract

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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Published

2005-09-01

How to Cite

1.
Dosso SE. Data covariance estimation for geoacoustic inversion. Canadian Acoustics [Internet]. 2005 Sep. 1 [cited 2021 Jul. 25];33(3):14-5. Available from: https://jcaa.caa-aca.ca/index.php/jcaa/article/view/1722

Issue

Section

Proceedings of the Acoustics Week in Canada

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