On-Line Estimation of Allan Variance Parameters

Abstract

A new on-line method is presented for estimation of the angular random walk and rate random walk coefficients of IMU (Inertial Measurement Unit) gyros and accelerometers. The on-line method proposes a state space model and proposes parameter estimators for quantities previously measured from off-line data techniques such as the Allan variance graph. Allan variance graphs have large off-line computational effort and data storage requirements. The technique proposed here requires no data storage and computational effort of O(100) calculations per data sample.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1999
Accession Number
ADA360671

Entities

People

  • J. J. Ford
  • M. E. Evans

Organizations

  • Defence Science and Technology Group

Tags

Communities of Interest

  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Computer Simulations
  • Computers
  • Convergence
  • Differential Equations
  • Engineering
  • Equations
  • Estimators
  • Inertial Measurement Units
  • Inertial Navigation
  • Linear Systems
  • Markov Models
  • Navigation
  • Probability
  • Random Variables
  • Random Walk
  • Stochastic Processes

Readers

  • Inertial Navigation Systems.
  • Regression Analysis.
  • Robotics and Automation.

Technology Areas

  • Space
  • Space - Space Objects