Environmental Acoustic Variability Characterization for Adaptive Sampling

Abstract

During shallow water antisubmarine warfare missions, environmental uncertainty significantly impacts Fleet asset performance. Oceanographic sensor availability, acoustic sensor coverage, and operational time limitations put constraints on efforts to observe large ocean areas. To address these challenges, NRL researchers have advanced and incorporated applied research technologies developed under several disciplines to implement an adaptive sensor placement capability that, under certain assumptions, minimizes the uncertainty in forecasted information. The technologies incorporated include ocean data quality control, rapidly nested oceanographic modeling, data assimilation, ensemble representation of uncertainty, acoustic performance modeling, and Ensemble Transform Kalman Filter (ETKF) adaptive sampling.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2008
Accession Number
ADA518086

Entities

People

  • Clark Rowley
  • Cleo L. Bishop
  • E. Coelho
  • Gregg Jacobs
  • J. Cummings
  • J. P. Fabre
  • X. Hong

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Sensors

DTIC Thesaurus Topics

  • Acoustic Detectors
  • Acoustic Propagation
  • Acoustic Properties
  • Acoustics
  • Antisubmarine Warfare
  • Detectors
  • High Resolution
  • Kalman Filters
  • Measurement
  • Monte Carlo Method
  • Naval Warfare
  • Navy
  • Observation
  • Oceans
  • Quality Control
  • Sampling
  • Shallow Water

Fields of Study

  • Environmental science

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Maritime and Naval Warfare Studies
  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers