A Kalman filter algorithm for terminal-area navigation with sensors of moderate accuracy

Translational 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...

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Veröffentlicht in:Journal of guidance, control, and dynamics control, and dynamics, 1983-09, Vol.6 (5), p.321-329
Hauptverfasser: CICOLANI, L. S, KANNING, G, SCHMIDT, S. F
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container_title Journal of guidance, control, and dynamics
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creator CICOLANI, L. S
KANNING, G
SCHMIDT, S. F
description Translational 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
doi_str_mv 10.2514/3.19838
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ispartof Journal of guidance, control, and dynamics, 1983-09, Vol.6 (5), p.321-329
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source NASA Technical Reports Server; Alma/SFX Local Collection
subjects Accelerometers
Accuracy
Aircraft
Aircraft Communications And Navigation
Algorithms
Approximation
Area navigation
Bias
Kalman filters
Noise
Sensors
Simulation
Transmitters
title A Kalman filter algorithm for terminal-area navigation with sensors of moderate accuracy
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