A Kalman Filter Approach to Navigation on the NAE Convair 580 Aeromagnetics Research Aircraft (L'Apport du Filtre Kalman Dans le Systeme de Navigation de L'Aeronef de Recherche Aeromagnetique nae Convair 580),

Abstract

Doppler radar, compass heading, and VLF communications station phase difference information are combined in an optimal fashion to form an ten-state Doppler/VLF Kalman filter navigation algorithm is designed for use onboard the NAE Convair 580 aeromagnetics research aircraft, with simulation studies conducted using computer programs written in FORTRAN for the IBM 3032 TSS operating environment. Results from the studies show the unique features of a Kalman filtering approach to the navigation task. Various contingencies, or anomalous situations, that can arise when handling the VLF data are considered, and solutions are offered in the context of the Kalman filter approach being used. A comparison study involving simulated navigation data demonstrates the superiority of the Kalman filter navigator compared to simpler navigation algorithms, especially when significant bias errors occur in the basic quantities being measured. A further comparison study based on navigation data collected onboard the Convair verifies that the proposed Kalman filter navigation algorithm operates properly when using typical 'real world' data. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 1981
Accession Number
ADA100836

Entities

People

  • B. W. Leach

Organizations

  • National Research Council Canada

Tags

Communities of Interest

  • Air Platforms
  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Accuracy
  • Computer Programs
  • Computers
  • Difference Equations
  • Differential Equations
  • Doppler Radar
  • Doppler Systems
  • Equations
  • Equations Of State
  • Frequency
  • Navigation
  • Phase Measurement
  • Radar
  • Research Aircraft
  • Simulations
  • Simulators
  • Steady State

Readers

  • Positioning, Navigation, and Timing (PNT) Technology.
  • Regression Analysis.
  • Small Business Innovation Research Program (SBIR) EDI Research and Innovation.