Estimation Algorithms for Location of Stationary Radiation Sources by Bearing Measurements from Moving Aircraft,

Abstract

Sequential estimation (Kalman filtering) is applied to the problem of locating a stationary radiation source, given passive, noisy measurements of bearing from a moving aircraft to the source. Several candidate estimation algorithms are investigated, with evaluation of each by Monte Carlo simulation. The most effective of these is one in which linear estimation is done about a nominal bearing trajectory whose parameters are continually updated by nonlinear prediction equations as source location estimates are produced. (Author)

Document Details

Document Type
Technical Report
Publication Date
Apr 15, 1969
Accession Number
AD0851874

Entities

People

  • James S. Demetry

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Air Platforms

DTIC Thesaurus Topics

  • Aircrafts
  • Algorithms
  • Data Science
  • Equations
  • Filtration
  • Information Science
  • Kalman Filtering
  • Mathematics
  • Measurement
  • Monte Carlo Method
  • Radiation
  • Simulations
  • Stationary
  • Statistical Algorithms
  • Test And Evaluation
  • Trajectories

Fields of Study

  • Engineering

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Radar Systems Engineering.
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