Optimal Estimation of Source Location and Spectrum in the Near Field.

Abstract

Optimal estimation and detection techniques are used to determine the properties of a radiating source with the use of a receiving line array in the near field. The maximum likelihood estimates of the location of a point source and its power spectral density are derived for a general noise covariance matrix. The specific case of noise plus a point source interference is examined. The estimator structure is shown to consist of an estimator beam for the interference which is optimally subtracted from the estimator beam for the signal with subsequent bias removal for the noise. The performance is calculated and compared with previously calculated noise fields such as uncorrelated noise and a model of isotropic noise. The problem of discrimination of two point sources in the presence of a third interfering point source is solved using a likelihood ratio test.

Document Details

Document Type
Technical Report
Publication Date
Nov 01, 1974
Accession Number
ADA005521

Entities

People

  • Anthony J. Rockmore
  • Donald A. Murphy
  • Neil J. Bershad

Organizations

  • Hughes Aircraft Company

Tags

DTIC Thesaurus Topics

  • Bias
  • Covariance
  • Data Science
  • Detection
  • Discrimination
  • Estimators
  • Information Science
  • Mathematics
  • Near Field
  • Spectra
  • Statistical Algorithms
  • Statistical Analysis

Fields of Study

  • Engineering

Readers

  • Approximation Theory.
  • Plasma Physics / Magnetohydrodynamics
  • Seismology