Performance Evaluation Criteria and Analysis of Navigation Systems Using Inertial Measurement Unit Technology

Abstract

A primary aspect involved in the navigation of a wide variety of vehicles, such as ground vehicles and aircraft, is the use of inertial measurement units. The purpose of the inertial measurement unit is to provide an internal measure of the linear acceleration and angular velocity of the vehicle in order to be used by a navigation system in the dead-reckoning of the vehicle s position and attitude. Due to the nature of sensors, the measurement of the linear acceleration and angular velocity are corrupted by several error sources, such as bias and noise, amongst others. In order to assess the coupled impact of these error sources on the navigation accuracy for an arbitrary vehicle, a simulation and analysis tool is developed that can model several inertial measurement unit mechanizations, simulate the error sources encountered in the acquisition of measurement data, emulate the navigation software, and perform a range of statistical analyses via Monte Carlo simulation. The developed tool is applied to a ground vehicle navigation scenario in order to assess the performance of different sensors and provide conclusions as to when each sensor should be used to achieve the best navigation performance.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jun 26, 2014
Accession Number
ADA605594

Entities

People

  • Jacob E. Darling
  • Kyle. J. Demars
  • Michael A. Waltemate
  • Samuel J. Haberberger

Organizations

  • Missouri University of Science and Technology

Tags

Communities of Interest

  • Ground and Sea Platforms
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force Research Laboratories
  • Aircrafts
  • Data Science
  • Dead Reckoning
  • Ground Vehicles
  • Inertial Measurement Units
  • Inertial Navigation
  • Inertial Navigation Systems
  • Information Science
  • Intercontinental Ballistic Missiles
  • Kalman Filters
  • Measurement
  • Monte Carlo Method
  • Navigation
  • Spacecraft
  • Statistical Analysis
  • World Geodetic System

Fields of Study

  • Engineering

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Geodesy
  • Robotics and Automation.