Multiple Source Location Estimation Using the EM (Estimate-Maximize) Algorithm

Abstract

A computationally efficient scheme is presented for multiple source location estimation based on the EM Algorithm. The proposed scheme is optimal in the sense that it converges iteratively to the exact Maximum Likelihood estimate of all the unknown parameters simultaneously. The method can be applied to a wide range of problems arising in signal and array processing. Keywords: Array processing; Multiple source localization; EM algorithm.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1986
Accession Number
ADA208762

Entities

People

  • Ehud Weinstein
  • Meir Feder

Organizations

  • Woods Hole Oceanographic Institution

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Algorithms
  • Covariance
  • Detectors
  • Estimators
  • Frequency Bands
  • Iterations
  • Mathematical Models
  • Maximum Likelihood Estimation
  • Models
  • Observation
  • Oceanography
  • Optimization
  • Probability
  • Signal Processing
  • Stochastic Processes
  • United States
  • Universities

Fields of Study

  • Engineering

Readers

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