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Ship's attitude estimation

Authors: Garcia, Jose F. III;

Ship's attitude estimation

Abstract

Landing aircraft on board is a most delicate phase of flight operations at sea. The ability to predict the aircraft carrier's motion over an interval of several seconds within reasonable error bounds may allow improvement in touchdown dispersion and a more certain value for a ramp clearance due to a smoother aircraft trajectory. Also, improved information to the Landing Signal Officer should decrease the number of waveoffs. This work indicates and shows graphically that, based on the data for pitch, heave and roll measured for various ships and sea conditions, the motion can be predicted well. The predictor was designed on the basis of Kalman's optimum filtering theory for the discrete time case, adapted for real-time digital computer operation.

Approved for public release; distribution is unlimited.

http://archive.org/details/shipsttitudeesti1094527261

Lieutenant, United States Navy

Keywords

ship motion, computer simulations, Kalman filter

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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