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A Kalman filter algorithm for terminal-area navigation with sensors of moderate accuracyTranslational state estimation in terminal area operations, using a set of commonly available position, air data, nd acceleration sensors, is described. Kalman filtering is applied to obtain maximum estimation occuracy from the sensors but feasibility in real-time computations requires a variety of approximations and devices aimed at minimizing the required computation time with only negligible loss of accuracy. Accuracy behavior throughout the terminal area, its relation to sensor accuracy, its effect on trajectory tracking errors and control activity in an automatic flight control system, and its adequacy in terms of existing criteria for various terminal area operations are examined. The principal investigative tool is a simulation of the system. Previously announced in STAR as N83-29193
Document ID
19830064242
Acquisition Source
Legacy CDMS
Document Type
Reprint (Version printed in journal)
Authors
Cicolani, L. S.
(NASA Ames Research Center Moffett Field, CA, United States)
Kanning, G.
(NASA Ames Research Center Moffett Field, CA, United States)
Schmidt, S. F.
(Analytical Mechanics Associates, Inc. Mountain View, CA, United States)
Date Acquired
August 11, 2013
Publication Date
October 1, 1983
Publication Information
Publication: Journal of Guidance, Control, and Dynamics
Volume: 6
ISSN: 0731-5090
Subject Category
Aircraft Communications And Navigation
Accession Number
83A45460
Distribution Limits
Public
Copyright
Other

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