Wide Area Detection and Identification of Underwater UXO Using Structural Acoustic Sensors

Abstract

This project explored the feasibility and advantages of applying the structural acoustic feature-based technique to the detection and identification of underwater unexploded ordnance, especially for buried targets. In the structural acoustic regime, the echoes are related to the vibrational dynamics of the object, and time-frequency features in the scattered echoes can be used to "fingerprint" and identify the target. The research focused on (1) comprehensive state-of-the-art UXO scattering measurements in the NRL structural acoustic underwater laboratory free-field and sediment facilities and off the coast of Panama City, FL using a rail-based robotic sonar system and (2) the application of time and frequency based numerical models.

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 2011
Accession Number
ADA546621

Entities

People

  • A. Sarkissian
  • B. H. Houston
  • D. Calvo
  • H. Simpson
  • J. A. Bucaro
  • L. Kraus
  • M. Saniga
  • Saikat Dey
  • T. Yoder

Tags

Communities of Interest

  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Acoustic Detectors
  • Acoustic Propagation
  • Acoustic Properties
  • Acoustic Waves
  • Acoustics
  • Autonomous Underwater Vehicles
  • Computational Science
  • Detection
  • Detectors
  • Diffraction
  • Frequency Bands
  • Geometry
  • Machine Learning
  • Supervised Machine Learning
  • Three Dimensional
  • Two Dimensional
  • Unexploded Ammunition

Readers

  • Coastal and Marine Engineering/Sediment Transport/Hydraulic Engineering
  • Military/Explosive Ordnance Disposal (EOD) Technology
  • Speech Processing/Speech Recognition.

Technology Areas

  • AI & ML
  • Autonomy