AN ERROR ANALYSIS TECHNIQUE FOR INERTIAL NAVIGATION SYSTEMS AND KALMAN FILTERS

Abstract

This report develops a method for analyzing the errors incurred in optimum estimation schemes. The optimum control law for modern control systems is usually a function of all the states of the system. In many practical cases it is necessary to extract information concerning the states from the measurement of the output. This extraction process is called estimation. Due to random measurement noise and the random noise components of the states of the system, the estimate of the states is not perfect. A set of computer programs has been developed that provides a way of evaluating optimum and sub-optimum Kalman estimation techniques. The random noise processes have been described in a statistical manner, in order to specify the random noise quantitatively as a function of time.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1968
Accession Number
AD0674526

Entities

People

  • C. E. Hutchinson
  • H. M. Wondergem

Organizations

  • University of Massachusetts Amherst

Tags

Communities of Interest

  • Space

DTIC Thesaurus Topics

  • Algorithms
  • Computational Science
  • Computer Programs
  • Computers
  • Control Systems
  • Differential Equations
  • Error Analysis
  • Errors
  • Estimators
  • Filters
  • Guidance
  • Inertial Navigation
  • Inertial Navigation Systems
  • Kalman Filters
  • Mathematical Filters
  • Measurement
  • Navigation

Fields of Study

  • Physics

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.