Factorization of the Discrete Noise Covariance Matrix for Plans,

Abstract

The PLANS (Primary Land Arctic Navigation System), developed at DREO, optimally integrates a directional gyro/gyrocompass, an odometer, a 3-axis strapdown magnetometer, a GPS receiver, a Transit receiver, a baroaltimeter and a digital terrain elevation map, for the purpose of navigating a land vehicle in the Canadian Arctic under potentially adverse conditions. This report derives the exact form of the discrete driving noise covariance matric which is needed to propagate the covariance matrix Ok in the Kalman filter used by PLANS. It is shown that the exact Ok does not have a Cholesky UDU T decomposition. However, a good approximation is shown to have the necessary decomposition for use in the Biermann-Agee-Turner formulation of the Kalman filter. This approximate decomposition is then found. A general result on the preservation of block diagonal form under UDUT decomposition is also proven.

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 1991
Accession Number
ADA239113

Entities

People

  • J. C. Mcmillan

Organizations

  • Defence Research and Development Canada

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Computations
  • Detectors
  • Equations
  • Failure Mode And Effect Analysis
  • Intervals
  • Kalman Filters
  • Markov Processes
  • Measurement
  • Navigation
  • Odometers
  • Security
  • Simulations
  • Square Roots
  • Steady State
  • Transitions

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Inertial Navigation Systems.
  • Linear Algebra

Technology Areas

  • Space