Weak Harmonic-Signal Detection in Gaussian Narrow-Band Noise Using the Statistics of Intervals between Zeroes

Abstract

An optimal statistical treatment algorithm, valid for wide and narrow band processes, is obtained for the detection of a weak harmonic signal on a Gaussian narrow band noise background. The integral is based on the statistics of intervals between intersections of zero level processes. It is shown that the noise rejection capacity of a detection process increases when the absolute signal mismatch level with respect to the central frequency of the noise spectrum increases.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1972
Accession Number
AD0752335

Entities

People

  • I. N. Erimichoi
  • V. M. Koshevoi

Organizations

  • National Air and Space Intelligence Center

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Air Force
  • Air Force Facilities
  • Detection
  • Detectors
  • Equations
  • Exponential Functions
  • False Alarms
  • Foreign Technology
  • Frequency
  • Intervals
  • Power Spectra
  • Probability
  • Signal Detection
  • Spectra
  • Statistics
  • Time Intervals
  • Translations

Fields of Study

  • Engineering

Readers

  • Acoustics.
  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Statistical inference.