Understanding Kalman Filtering and its Application in Real Time Tracking Systems

Abstract

The theory and applications of Kalman filtering have now been under development for over a decade. Kalman filtering is currently being used operationally in numerous applications such as satellite tracking systems, aircraft navigational systems and aircraft tracking systems. Because Kalman filtering is a statistical concept that is typically described in terms of state-space notation, project managers and engineers must frequently accept on abstruse set of equations while feeling insufficiently qualified to appreciate their significance or applicability. In spite of the obscure terminology and associated matrix notation that typically accompanies any discussion of Kalman filtering, the salient features of the theory are relatively straightforward and can be presented in a manner that appeals to intuition. The paper represents such an attempt with emphasis on applications to real time tracking systems.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1972
Accession Number
AD0751485

Entities

People

  • J. J. Burke

Organizations

  • MITRE Corporation

Tags

Communities of Interest

  • Air Platforms
  • Space

DTIC Thesaurus Topics

  • Air Force
  • Aircrafts
  • Algorithms
  • Cartesian Coordinates
  • Computations
  • Computers
  • Coordinate Systems
  • Correlation Techniques
  • Cross Correlation
  • Data Science
  • Filtration
  • Information Science
  • Kalman Filtering
  • Kalman Filters
  • Mathematical Models
  • Probability
  • Time Intervals

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Systems Analysis and Design

Technology Areas

  • Space