Volume 5 Issue 6: 2017

5 Mar

An Inversion Algorithm for Subsurface Sensing Problem

Authors: 11Yijun Yu, 2Nailong Guo

Affiliation:

1Department of Mathematics, Tuskegee University, AL, USA

22Department of Mathematics and Computer Science, Benedict College, SC, USA

Abstract:

An inversion algorithm with Bayesian Formulation is considered for subsurface Sensing problem. The algorithm inverts the parameters of a heterogeneity profile based on measured scattering data. The Algorithm is developed based on assumption that there is a mismatch between the measured data and the model employed, with the error represented as a random process. The mean of the distribution may be used as a point estimate of the heterogeneity profile. Here the basic Bayesian inversion framework is presented, with example results presented for subsurface-sensing problems.

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