Gravity Model Evaluation for Precise Terrestrial Inertial Navigation: A System Accuracy Approach.

Abstract

Inertial navigation has evolved to the point that the traditional gravity model is a principle error source in precise systems. Since future systems may require a more accurate gravity model, a statistical performance evaluation is needed to compare candidate models on realistic scenarios. The present methods of model evaluation are Monte Carlo, which is computationally costly, and linear state space covariance analysis, which has troublesome trajectory and statistical model restrictions. This research developed a new statistical analysis technique based on a double integral expression of the navigation system error covariance. Numerical algorithms were formulated to approximate the covariance, and the accuracy and efficiency of these algorithms were compared using a simple Schuler Loop example analysis. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1979
Accession Number
ADA082494

Entities

People

  • Robert M. Edwards

Organizations

  • Air Force Research Laboratory

Tags

Communities of Interest

  • Cyber
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Computational Science
  • Computer Programs
  • Computers
  • Data Science
  • Data Storage Systems
  • Databases
  • Differential Equations
  • Inertial Navigation
  • Inertial Navigation Systems
  • Information Science
  • Kalman Filters
  • Mathematical Filters
  • Metal Matrix Composites
  • Navigation
  • Statistical Analysis
  • Surveys
  • Two Dimensional

Readers

  • Computational Modeling and Simulation
  • Inertial Navigation Systems.
  • Statistical inference.

Technology Areas

  • Space