Small lunar lander/hopper navigation analysis using linear covariance

This paper uses linear covariance analysis to investigate the expected navigation performance and corresponding parameter sensitivities for lunar landing and surface mobility (via "hopping"). The Draper Linear Covariance (LinCov) tool is a statistical simulation that approximates the state...

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Bibliographic Details
Main Authors: Huxel, Paul J, Cohanim, Babak E
Format: Conference Proceeding
Language:English
Subjects:
Accelerometers
Biosensors
Gravity
Gyroscopes
Markov processes
Moon
Navigation
Performance analysis
Surface topography
Vehicles
Online Access:Request full text
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Summary:This paper uses linear covariance analysis to investigate the expected navigation performance and corresponding parameter sensitivities for lunar landing and surface mobility (via "hopping"). The Draper Linear Covariance (LinCov) tool is a statistical simulation that approximates the state error covariance results of a six-degree-of-freedom Monte Carlo simulation in a fraction of the time. This ability to quickly analyze navigation performance for a wide variety of sensor suite configurations given any landing or hopping trajectory allows for increased vehicle and mission design flexibility, as well as insight into sensor and vehicle cost, mass, and power sizing.
ISSN:1095-323X
2996-2358
DOI:10.1109/AERO.2010.5446727