ACOUSTIC SIGNAL DETECTION BY SIMPLE CORRELATORS IN THE PRESENCE OF NONGAUSSIAN NOISE II. ERROR PROBABILITIES AND CANONICAL FORMS FOR THRESHOLD OPERATION.

Abstract

The detection of underwater acoustic signals by simple correlation receivers in the presence of general classes of additive non-normal, as well as normal background noise, is studied from the viewpoint of statistical decision theory. Performance is measured in terms of average risk; the probabilities of decision error are found for deterministic and stochastic signals in the threshold situation of large samples and independent sampling on the observation interval. As such, these error probabilities are upper bounds on the values that would be obtained with continuous sampling on the same interval. Non-normal noise may either worsen or better detection vis-a-vis normal noise backgrounds, depending on the positive or negative values of the abnormality factors, which are the pertinent measures here of the departure from normality of the background noise. Effective detection requires uniform post-multiplier weighting of the sampled data, and a positive value of the signals' crosscorrelation (or coherent) detection can be achieved with sufficiently strong injected signals, to operate independently of the particular noise statistics.

Document Details

Document Type
Technical Report
Publication Date
Jan 31, 1964
Accession Number
AD0601361

Entities

People

  • David Middleton

Tags

DTIC Thesaurus Topics

  • Acoustic Signals
  • Background Noise
  • Correlators
  • Data Science
  • Decision Theory
  • Detection
  • Information Science
  • Intervals
  • Noise
  • Normality
  • Probability
  • Sampling
  • Signal Detection
  • Statistical Analysis
  • Statistical Decision Theory
  • Statistics

Readers

  • Acoustics.
  • Approximation Theory.
  • Statistical inference.