High Accuracy Aircraft to Satellite Tracking Using an Extended Kalman Filter

Abstract

A 61-state truth model is developed for the aircraft to satellite tracking problem. The equations for the Extended Kalman Filter are described and the truth model is examined and simplified to give a 12-state reduced order filter model of the system. Using the method of Covariance Analysis which is described, the performance of the 12-state filter model against the 61-state truth model is evaluated with the dynamics profile of a high altitude aircraft tracking a near earth satellite in a circular polar orbit.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1974
Accession Number
ADA008716

Entities

People

  • Robert A. K. Mitchell

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Space

DTIC Thesaurus Topics

  • Accuracy
  • Air Force
  • Aircrafts
  • Altitude
  • Artificial Satellites
  • Coordinate Systems
  • Differential Equations
  • Equations
  • Equations Of State
  • Inertial Navigation
  • Inertial Navigation Systems
  • Kalman Filters
  • Measurement
  • Measuring Instruments
  • Orbits
  • Simulations
  • Trajectories

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Space Exploration and Orbital Mechanics.

Technology Areas

  • Space
  • Space - Orbital Debris