DUSS97: source localization and environmental inversion using vertical array data

Abstract

Results on source localization and environmental inversion using experimental data acquired on a vertical line array are presented. Global inversion methods based on genetic algorithms are utilized to estimated the range and depth of a moving source located at approximately 9.0 km from the receiver array. Geometric and environmental parameters are estimated . The results are found to be in good agreement with observed values. However, the results are sensitive to minor changes in the simulation geometry and the number of significant frequencies processed. An advanced, non-parametric spectral estimation technique which improved the accuracy of the estimation of the covariance matrix did not enhance localization performance.