THEORY AND APPLICATIONS OF KALMAN FILTERING

Abstract

Contents: Linear estimation theory; Further comments on the derivation of Kalman filters; Computational techniques in Kalman filtering; Modeling errors in Kalman filters; Suboptimal Kalman filter techniques; Comparison of Kalman, Bayesian and maximum likelihood estimation techniques; Nonlinear filtering and comparison with Kalman filtering; Linear smoothing techniques (post-flight data analysis); Nonlinear smoothing techniques; General questions on Kalman filtering in navigation systems; Application of Kalman filtering theory to augmented inertial navigation systems; Application of Kalman filtering to Baro/inertial height systems; Application of Kalman filtering to the C-5 guidance and control system; Application of Kalman filtering techniques to the Apollo program; Some applications of Kalman filtering in space guidance; Application of Kalman filtering for the alighnment of carrier aircraft inertial navigation systems; Navigation at sea using the invariants form of Kalman filtering; Marine applications of Kalman filtering; Optimal use of redundant information in an inertial navigation; Application of Kalman filtering techniques to strapdown system initia-alignment; and A Kalman filter augmented marine navigation system.

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 1970
Accession Number
AD0704306

Entities

People

  • Cornelius T. Leondes

Organizations

  • AGARD

Tags

Communities of Interest

  • Cyber
  • Ground and Sea Platforms
  • Sensors
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Altimeters
  • Artificial Satellites
  • Computational Science
  • Computer Programming
  • Computer Programs
  • Control Systems
  • Guidance
  • Inertial Measurement Units
  • Inertial Navigation
  • Inertial Navigation Systems
  • Information Processing
  • Lepidoptera
  • Mathematical Filters
  • Measurement
  • Navigation
  • Navigators
  • Random Variables

Fields of Study

  • Engineering

Readers

  • Inertial Navigation Systems.
  • Statistical inference.

Technology Areas

  • AI & ML
  • AI & ML - Machine Learning Algorithms
  • Space
  • Space - Spacecraft Maneuvers