An Algorithm for Beam Noise Prediction,

Abstract

In a band of rather low frequencies, almost all of the ambient noise in the ocean is generated by ship traffic. The performance of sonars operating in this band is limited by this component of background noise; therefore, it is necessary to measure or predict certain statistical measures of beam noise to support system design and deployment decisions. The probability measures of beam noise depend on many factors: array configuration, orientation, and location (including depth), and season. Thus it would be both expensive and time-consuming to attempt to obtain the required beam noise measures for a large number of sites experimentally. There is, therefore, considerable incentive for the development of a capability of predicting statistical measures of array beam noise. The aspects of beam noise that should be considered depend on the type of performance predictions desired. For detection predictions, the quantity of interest is the total noise power in selected of frequency bands. However, for prediction of false alarm or false classification rates, characterization of the narrowband components of shipping noise must be considered. Both aspects are addressed; however, the bulk of the report pertains to the former.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 1979
Accession Number
ADA076615

Entities

People

  • M. Moll
  • R. M. Zeskind
  • William L. Scott

Organizations

  • BBN Technologies

Tags

Communities of Interest

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

DTIC Thesaurus Topics

  • Algorithms
  • Ambient Noise
  • Broadband
  • Detection
  • Detectors
  • Frequency
  • Frequency Bands
  • Geometry
  • Latitude
  • Longitude
  • Merchant Vessels
  • Narrowband
  • Noise
  • Pacific Ocean
  • Probability
  • Probability Density Functions
  • Random Variables

Readers

  • Acoustical Oceanography.
  • Acoustics.
  • Regression Analysis.