Optimum and Suboptimum Array Processing for the Estimation of Superimposed Signals

Abstract

This report addresses the problem of estimating the parameters of superimposed signals observed by an array of sensors. Some of the proposed techniques are equally useful for estimating the frequencies of sinusoids in noise. The methods used are direct iterative maximum likelihood, the EM algorithm, the eigenstructure approach and the polynomial approach. In addition to the traditional estimation of the source locations we also address the estimation of parameters related to the radiation patterns of the sources.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1987
Accession Number
ADA458493

Entities

People

  • Alan S. Willsky
  • Anthony J. Weiss
  • Bernard C. Lévy

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Sensors

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Computations
  • Covariance
  • Directional
  • Eigenvalues
  • Eigenvectors
  • Equations
  • Far Field
  • Frequency
  • Literature Surveys
  • Narrowband
  • Near Field
  • Observation
  • Polynomials
  • Radiation
  • Radiation Patterns

Fields of Study

  • Engineering

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Electromagnetic Wave Scattering and Antenna Radiation Engineering