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Graduate Student-Faculty Seminars


Monday, April 3, 4:00 pm
Cullimore Hall Room 611
New Jersey Institute of Technology

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Inverse Problems in Underwater Acoustics

 

Eliza (Z.-H.) Michalopoulou

 

Department of Mathematical Sciences

New Jersey Institute of Technology

Newark, NJ

 

 

 

 

Abstract

 

Matched field processing (MFP) is often employed to address source localization problems in the ocean.  MFP relies on the calculation of replica fields for likely source locations, by solving the Helmholtz equation.  Replicas are then correlated to the true sound field; the source location estimates are those location values that maximize the correlation.  In the same manner, MFP can be used to estimate parameters other than location that affect underwater sound propagation.  In practice, since the propagation medium is usually only approximately known, MFP can be used for the simultaneous estimation of source location and environmental parameters. The estimation procedure, thus, becomes multi-dimensional, and exhaustive implementation is computationally inefficient. Instead, global optimization methods are employed in order to search efficiently the objective function (measure of correlation between data and replicas).