Non-Parametric Detection in Underwater Environments

Abstract

Motivated by the recurring use of the generalized Gaussian family to model different underwater noise sources and the asymptotic performance levels of some commonly used detectors for this family, we examined the performance of these detectors for this family, we examined the performance of these detectors for several different underwater noise sources. The sources considered are non-Gaussian, highly correlated, generally nonstationary, and vary from being lighter to heavier tailed than Gaussian. Although the linear detector had the best performance, the linear rank detector and the L-level uniform quantizer consistently had similar performance levels. Considering the simplicity and the robustness of the quantizer and the rank detectors, either of these detectors would seem to be the best choice for these environments.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1989
Accession Number
ADA230142

Entities

People

  • J. B. Thomas
  • P. A. Nielsen

Organizations

  • Princeton University

Tags

Communities of Interest

  • Energy and Power Technologies
  • Ground and Sea Platforms
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Ambient Noise
  • Continental Shelves
  • Data Sets
  • Detection
  • Detectors
  • Electrical Engineering
  • Engineering
  • Environment
  • Frequency
  • Frequency Domain
  • Information Theory
  • Noise
  • Shipping
  • Signal Detection
  • Signal Processing
  • Stationary
  • Universities

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Nuclear and Radiation Engineering.
  • Regression Analysis.