Accession Number:
ADA615239
Title:
Theoretical Limits of Lunar Vision Aided Navigation with Inertial Navigation System
Descriptive Note:
Master's thesis
Corporate Author:
AIR FORCE INSTITUTE OF TECHNOLOGY WRIGHT-PATTERSON AFB OH GRADUATE SCHOOL OF ENGINEERING AND MANAGEMENT
Personal Author(s):
Report Date:
2015-03-26
Pagination or Media Count:
126.0
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.
Descriptors:
- *INERTIAL NAVIGATION
- *LUNAR TOPOGRAPHY
- AIRCRAFT
- ATTITUDE(INCLINATION)
- BAROMETERS
- CHARGE COUPLED DEVICES
- COMPUTER VISION
- ERROR ANALYSIS
- FEATURE EXTRACTION
- GLOBAL POSITIONING SYSTEM
- KALMAN FILTERING
- MATHEMATICAL MODELS
- MILITARY OPERATIONS
- ORBITS
- PRECISION
- SIMULATION
- THESES
- TOPOGRAPHIC CAMERAS
- TRAJECTORIES
Subject Categories:
- Navigation and Guidance