Final Report for Contract N00014-89-J-1967 for the Time Period from 1 May 1989 to 31 December 1990 (Texas Univ. at Austin. Applied Research Labs.)

Abstract

The results of the application of higher order spectral processing to detection of acoustic signals from full and half beam sensor systems is documented in Wilson and Hardwicke (1991), and are summarized in this section. In this report we discussed the detection performance of a variety of higher order spectra for a variety of signals. Of particular significance is the introduction of a new type of higher order spectra called non-stationary higher order spectra. Non-stationary higher order spectra are not the stationary higher order spectral representations of non-stationary processes, but are in fact different spectra which contain the stationary higher order spectra as a subset of their domain. It was shown quantitatively through theoretical predictions and simulations in the above referenced report that these type of spectra can perform better at detecting non-stationary signals under certain conditions than the traditional stationary spectra. For the first time, small sample statistics were derived and applied to the detection performance rather than asymptotic statistics, resulting in a more accurate performance prediction for typical sample sizes.

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Document Details

Document Type
Technical Report
Publication Date
Apr 23, 1991
Accession Number
ADA239335

Entities

Organizations

  • University of Texas at Austin

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Acoustic Detection
  • Acoustic Detectors
  • Acoustic Fields
  • Correlation Techniques
  • Detection
  • Detectors
  • Frequency
  • Gaussian Noise
  • Narrowband
  • Power Spectra
  • Remote Sensing
  • Scattering
  • Signal Processing
  • Simulations
  • Spectra
  • Stationary Processes
  • Statistics

Readers

  • Image Processing and Computer Vision.
  • Regression Analysis.
  • Spectroscopy.