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.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1998
Accession Number
AD1113437

Entities

People

  • A. Waldhorst
  • G. Haralabus

Tags

Communities of Interest

  • Ground and Sea Platforms
  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Accuracy
  • Acoustic Fields
  • Acoustics
  • Algorithms
  • Bandwidth
  • Data Analysis
  • Data Sets
  • Estimators
  • Frequency
  • Frequency Bands
  • Genetic Algorithms
  • Geometry
  • Measurement
  • Nato
  • Shallow Water
  • Signal Processing
  • Simulations

Readers

  • Radar Systems Engineering.
  • Seismology
  • Statistical inference.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • Biotechnology