Prewhitening of Colored Noise Fields for Detection of Threshold Sources

Abstract

This report presents an algorithm for the estimation of noise correlations for an array of sensors. The algorithm assumes a mixed spectra model composed of discrete sinusoidal sources and continuous noise components. A spatial AR process models the continuous component. Previous methods use spatial AR models with real coefficients, restricting the utility of the model to noise sources that impinge on an array at broadside. The complex formulation presented here solves the general problem of arbitrarily oriented noise sources. The technique uses a gradient algorithm for maximization of a likelihood functional to solve for the complex AR coefficients. Once the algorithm determines the noise covariance matrix, prewhitening techniques allow detection of threshold sources. The multiple signal classification (MUSIC) direction finder when applied to the prewhitened observed correlation matrix illustrates the usefulness in detecting low signal-to-noise ration (SNR) sources. Computational examples used the standardized test case (STC), a realistic model with a challenging range of SNR and difficult source locations. AR Model,

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Document Details

Document Type
Technical Report
Publication Date
Nov 07, 1993
Accession Number
ADA274346

Entities

People

  • Alain C. Barthelemy

Organizations

  • Naval Undersea Warfare Center

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Acoustic Fields
  • Algorithms
  • Angle Of Arrival
  • Background Noise
  • Classification
  • Coefficients
  • Computations
  • Covariance
  • Detection
  • Detectors
  • Direction Finders
  • Eigenvalues
  • False Alarms
  • Noise
  • Spectra
  • Undersea Warfare
  • White Noise

Fields of Study

  • Engineering

Readers

  • Operations Research
  • Phased Array Antenna Design.
  • Statistical inference.