Covariance Analysis for Multi-Source Navigation Architecture

Abstract

Currently, analysis on navigation systems can be slow and computationally expensive using Monte Carlo approaches. Covariance analysis is a tool that can return trade space analysis results promptly and can be computationally reasonable. This research aims to create a covariance analysis tool in a new navigation framework architecture, PntOS. The creation of this covariance tool is explained in coordination with the tool being used in a few different navigation scenarios with the results. These scenarios include a Doppler LiDAR velocity sensor and magnetic anomaly navigation.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Mar 24, 2022
Accession Number
AD1166934

Entities

People

  • Tristan T. Williams

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Computational Science
  • Data Science
  • Engineering
  • Governments
  • Guidance
  • Inertial Measurement Units
  • Inertial Navigation
  • Inertial Navigation Systems
  • Information Science
  • Kalman Filtering
  • Kalman Filters
  • Magnetic Anomalies
  • Mathematical Filters
  • Measurement
  • Monte Carlo Method
  • Navigation

Fields of Study

  • Computer science

Readers

  • Computational Modeling and Simulation
  • Positioning, Navigation, and Timing (PNT) Technology.
  • Systems Analysis and Design

Technology Areas

  • Space