The Analysis of Some Undersea Noise with Applications to Detection,

Abstract

This paper treats a signal detection problem using real noise records. The authors have had access to two medium-sized (each about 100000 samples) data sets, each from a non-Gaussian marine environment. The first, collected near a merchant shipping lane, has lower-than-Gaussian probability of high-amplitude observations (light tails). This appears to be due to the presence of a powerful narrowband component; when this is removed by an adaptive notch filter, the tails become heavier. The second, collected near a shrimp bed, has extremely heavy tails and a kurtosis (normalized fourth moment) of 82. Excellent results are achieved through the use of a Johnson noise model fit. Keywords: Merchant noise; Shrimp noise; Johnson noise; Nonlinear detectors. (jhd)

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1986
Accession Number
ADA204889

Entities

People

  • John B. Thomas
  • Peter Willett

Organizations

  • Princeton University

Tags

Communities of Interest

  • Energy and Power Technologies
  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Data Science
  • Data Sets
  • Detection
  • Detectors
  • Electrical Engineering
  • False Alarms
  • Filters
  • Frequency
  • Gaussian Noise
  • Information Science
  • Military Research
  • Narrowband
  • Noise
  • Notch Filters
  • Probability
  • Signal Detection
  • Statistics

Readers

  • Acoustics.
  • Mathematical Modeling and Probability Theory.
  • Radar Systems Engineering.