Coupled Inertial Navigation and Flush Air Data Sensing Algorithm for Atmosphere Estimation

This paper describes an algorithm for atmospheric state estimation based on a coupling between inertial navigation and flush air data-sensing pressure measurements. The navigation state is used in the atmospheric estimation algorithm along with the pressure measurements and a model of the surface pr...

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Veröffentlicht in:	Journal of spacecraft and rockets 2017-01, Vol.54 (1), p.128-140
Hauptverfasser:	Karlgaard, Christopher D, Kutty, Prasad, Schoenenberger, Mark
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Atmosphere Atmospheres Atmospheric models Atmospherics Covariance Estimates Flushing Inertial navigation Kalman filters Mars landing Mars missions Mathematical models Observability (systems) Pressure Pressure distribution Pressure measurement Reduced order filters Spacecraft landing State estimation Stress concentration Trajectories
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