A Characterization of Arctic Undersea Noise.

Abstract

Arctic undersea noise is investigated and partially characterized by a probability model suggested by exploration of a sample of such noise. The large size of the dataset makes this possible. The model is that of a mixed spectrum, with stationary Gaussian noise intermixed with random sinusoids, and occasional high intensity impulsive noise bursts, which are very short-lived. Due to the complex behavior of the random sinusoids, the noise cannot be considered as stationary in the time frame (10 minutes) investigated. The validity of the model is checked by testing model predictions against the actual data. In particular, this model makes some predictions about the type of spectrum observed, and these predictions are tested by a non-linear filtering of the period-program. A running median filter is used and is shown to asymptocally estimate the spectrum of the Gaussian noise. This filter seems to work fairly well on the data. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1983
Accession Number
ADA130397

Entities

People

  • Allan R. Wilks
  • James G. Veitch
  • S. C. Schwartz

Organizations

  • Princeton University

Tags

Communities of Interest

  • Energy and Power Technologies
  • Ground and Sea Platforms
  • Weapons Technologies

DTIC Thesaurus Topics

  • Acoustics
  • Ambient Noise
  • Background Noise
  • Data Analysis
  • Data Sets
  • Detection
  • Frequency
  • Gaussian Distributions
  • Gaussian Noise
  • Gaussian Processes
  • Information Science
  • Military Research
  • Noise
  • Probability
  • Random Variables
  • Statistics
  • Test And Evaluation

Readers

  • Acoustics.
  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Computational Modeling and Simulation