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Autonomous Lunar L1 Halo Orbit Navigation Using Optical Measurements to a Lunar Landmark
by
Williams, Dale A.
, Hinga, Mark B.
in
Autonomous navigation
/ Centroids
/ Craters
/ Extended Kalman filter
/ Global positioning systems
/ GPS
/ Kalman filters
/ Line of sight
/ Moon
/ Navigation
/ Navigators
/ Noise measurement
/ Optical measurement
/ Orbit determination
/ Positioning systems
/ Spacecraft
/ Three body problem
/ Tycho crater
/ Units of measurement
/ Vectors (mathematics)
/ Velocity
2023
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Autonomous Lunar L1 Halo Orbit Navigation Using Optical Measurements to a Lunar Landmark
by
Williams, Dale A.
, Hinga, Mark B.
in
Autonomous navigation
/ Centroids
/ Craters
/ Extended Kalman filter
/ Global positioning systems
/ GPS
/ Kalman filters
/ Line of sight
/ Moon
/ Navigation
/ Navigators
/ Noise measurement
/ Optical measurement
/ Orbit determination
/ Positioning systems
/ Spacecraft
/ Three body problem
/ Tycho crater
/ Units of measurement
/ Vectors (mathematics)
/ Velocity
2023
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Autonomous Lunar L1 Halo Orbit Navigation Using Optical Measurements to a Lunar Landmark
by
Williams, Dale A.
, Hinga, Mark B.
in
Autonomous navigation
/ Centroids
/ Craters
/ Extended Kalman filter
/ Global positioning systems
/ GPS
/ Kalman filters
/ Line of sight
/ Moon
/ Navigation
/ Navigators
/ Noise measurement
/ Optical measurement
/ Orbit determination
/ Positioning systems
/ Spacecraft
/ Three body problem
/ Tycho crater
/ Units of measurement
/ Vectors (mathematics)
/ Velocity
2023
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Autonomous Lunar L1 Halo Orbit Navigation Using Optical Measurements to a Lunar Landmark
Journal Article
Autonomous Lunar L1 Halo Orbit Navigation Using Optical Measurements to a Lunar Landmark
2023
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Overview
Autonomous cislunar spacecraft navigation is critical to mission success as communication to ground stations and access to global positioning system (GPS) signals could be lost. However, if the satellite has a camera of sufficient quality, geometric line-of-sight (unit vector) measurements can be made to known lunar landmarks (e.g., Tycho Crater) to provide observations that enable autonomous estimation of the position and velocity of the spacecraft. In this study, an improved batch gaussian initial orbit determination (IOD) differential corrector (DC) algorithm, based on the approximated values of the two-body f and g series, is applied to initialize a (non-conic based) circular restricted three body problem (CR3BP) extended Kalman Filter (EKF) navigator. This navigator collects geometric line-of-sight unit vector (angle only) measurements to a known location on the Moon to sequentially estimate the position and velocity of an observer spacecraft flying on an approximate southern L1 Halo orbit. In this study, it was found that the best approach is to initialize the CR3BP EKF (navigator) using the solution from the batch DC filter with at least 10 measurements taken against the perceived centroid of Tycho Crater. Thereafter, it is best to continue the navigator with subsequent measurements taken against the same center coordinates of the Tycho Crater, where these coordinates are now expressed in the CR3BP rotating frame. For successful conic-based batch filter initialization and long-term CR3BP EKF convergence, it was found that the cadence for all optical measurements should be taken at 10 minutes for a simulated measurement noise of 0.1° one sigma uncertainty about the line-of-sight measurement unit vector.
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