An Algebraic Approach to Data-Adaptive Array Processing.

Abstract

In an earlier paper, an algebraic characterization was made of the problem of resolving closely spaced plane waves incident on a linear array. The characterization suggests several data-adaptive processing methods and encompasses the Wiener, Maximum Likelihood, and Pisarenko methods. In this paper, the algebraic approach is amplified and the results extended to consider correlated noise. A recursive algorithm is given for a particularly effective processing method. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1981
Accession Number
ADA101872

Entities

People

  • James A. Cadzow
  • Thomas P. Bronez

Organizations

  • Virginia Tech

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies
  • Sensors

DTIC Thesaurus Topics

  • Algorithms
  • Arrays
  • Computations
  • Covariance
  • Eigenvalues
  • Estimators
  • Filters
  • Frequency
  • High Resolution
  • Information Processing
  • Iterations
  • Linear Arrays
  • New York
  • Numerical Analysis
  • Plane Waves
  • Random Variables
  • White Noise

Fields of Study

  • Engineering

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Atmospheric Science / Meteorology, specifically Wind Wave Turbulence.
  • Image Processing and Computer Vision.

Technology Areas

  • Space
  • Space - Space Objects