Theoretical Limits of Lunar Vision Aided Navigation with Inertial Navigation System

Abstract

The precision navigation capabilities of the Global Positioning System (GPS) are used extensively within US military operations. However, GPS is highly vulnerable to intentional and unintentional external interference. Therefore, a need exists to develop a non-GPS precision navigation method to operate in GPS degraded environments. This research effort presents the theoretical limits of a precision navigation method based on an inertial navigation system (INS) aided by angle measurements with respect to lunar surface features observed by a xed camera. To accomplish this task, an extended Kalman filter (EKF) was implemented to estimate INS drift errors and bring in simulated lunar feature angle measurements to correct error estimates. The research scope focused solely on the feasibility of lunar vision aided navigation with INS where only measurement noise effects from a simulated CCD camera and barometer were considered. Various scenarios based on camera specifications, lunar feature quantity, INS grade, and lunar orbital parameters were conducted to observe the INS drift correction by lunar feature angle measurements. The resulting trade spaces presented by the scenarios showed theoretical substantial improvement in the navigation solution with respect to a stand alone INS.

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Document Details

Document Type
Technical Report
Publication Date
Mar 26, 2015
Accession Number
ADA615239

Entities

People

  • David W. Jones

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Sensors
  • Space

DTIC Thesaurus Topics

  • Air Force
  • Aircrafts
  • Celestial Navigation
  • Computer Vision
  • Dead Reckoning
  • Detection
  • Detectors
  • Differential Equations
  • Feature Extraction
  • Global Positioning Systems
  • Inertial Navigation
  • Inertial Navigation Systems
  • Kalman Filters
  • Mathematical Filters
  • Measurement
  • Navigation
  • World Geodetic System

Readers

  • Astronomy and Astrophysics.
  • Inertial Navigation Systems.
  • Systems Analysis and Design

Technology Areas

  • Space