Adaptive Acoustic Signal Detection

Abstract

The focus of this research is to determine the impact of our knowledge of ocean variability, as characterized by the sound speed profile, on ocean surveillance detection performance for situations of interest to the U. S. Navy. Signal detection theory provides a framework for determining optimal phase coherent detection and source localization algorithms and determining their performance. This framework allows us to incorporate directly the physics of acoustic propagation through a space-time variable medium into the structure of optimal algorithms. Thus the signal processing algorithms designed from this viewpoint have a built-in robustness to the environmental variability. Using these optimal algorithms we can determine the maximum attainable detection performance.

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Document Details

Document Type
Technical Report
Publication Date
Feb 14, 1991
Accession Number
ADA247045

Entities

People

  • L. W. Nolte

Organizations

  • Duke University

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Acoustic Tomography
  • Algorithms
  • Detection
  • Electrical Engineering
  • Engineering
  • Equations
  • Frequency
  • Gaussian Noise
  • Narrowband
  • Ocean Environments
  • Oceans
  • Probability
  • Probability Density Functions
  • Signal Detection
  • Signal Processing
  • Tomography
  • Transfer Functions

Fields of Study

  • Engineering

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Oceanography.
  • Sensor Fusion and Tracking Systems.

Technology Areas

  • Space
  • Space - Space Objects