Effect of Correlation on Signal Detection in Arctic Under-Ice Noise

Abstract

Signal detection in a large segment of non-Gaussian and non-stationary Arctic under-ice noise, which contains both high power narrow-band and impulsive components, is examined. It is shown that the correlation functions of sub-segments of data change significantly, and if ignored, can degrade the performance of the detector. For a false alarm probability of 0.05 and a known constant signal, the matched filter was on average 17.6% better than a detector designed assuming independent noise samples. It is also shown that pre-processing the data with an adaptive notch filter, then using the matched filter will result in a further improvement of about 6%. Additionally, the effect two different signal shapes have on the performance of the matched filter is examined. Keywords: Underwater sound d signals; Underice noise sound; Omnidirectional hydrophones.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Nov 02, 1988
Accession Number
ADA230143

Entities

People

  • J. B. Thomas
  • P. A. Nielsen

Organizations

  • Princeton University

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Ambient Noise
  • Covariance
  • Detection
  • Detectors
  • Electrical Engineering
  • False Alarms
  • Filters
  • Filtration
  • Frequency
  • Information Science
  • Matched Filters
  • Noise
  • Notch Filters
  • Power Levels
  • Probability
  • Signal Detection
  • Warning Systems

Fields of Study

  • Engineering

Readers

  • Phased Array Antenna Design.
  • Radar Systems Engineering.
  • Statistical inference.