Development and Comparison of Estimation Algorithms for Airborne Missiles.

Abstract

Basic development of the estimation, guidance, and control algorithms for guidance of an airborne missile during air-to-air combat engagements are examined. The extended Kalman filter is improved through the use of sample measurement statistics, through time-weighting the measurements, and through iterating within the Kalman filter. Numerical results are presented for comparing the performance of different filters.

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 1983
Accession Number
ADA141535

Entities

People

  • K. R. Hall

Organizations

  • Mississippi State University

Tags

Communities of Interest

  • Air Platforms
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Algorithms
  • Control Systems
  • Coordinate Systems
  • Differential Equations
  • Equations
  • Equations Of Motion
  • Equations Of State
  • Estimators
  • Filters
  • Guidance
  • Kalman Filters
  • Mathematical Filters
  • Measurement
  • Optimal Estimators
  • Statistical Analysis
  • Statistics

Readers

  • Sensor Fusion and Tracking Systems.
  • Statistical inference.