Publication Presentations

Type : Presentations
Editor
  1. Ahmad
  2. Jamil
Date Publication : 11-02-2016

Article Title : Presentation 2016
Description : This is description for presentation 2016

Preface


Matched-Field Performance Prediction with Model Mismatch

Page(s) :10
Abstract

Matched-field estimation is known to be sensitive to mismatch between the assumed replica of the acoustic field and the actual field. An interval error-based method (MIE) is proposed to predict the mean-squared error (MSE) performance for multisnapshot and multifrequency maximum-likelihood matched-field estimation under model mismatch. The source signal is assumed deterministic unknown. Global errors are predicted by deriving exact expressions of pairwise error probabilities with model mismatch in conjunction with the use of the Union bound. Local errors are approximated using a Taylor expansion of the MSE. Numerical examples show the accuracy of the method.

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