Ship's attitude estimation
Loading...
Authors
Garcia, Jose F. III
Subjects
ship motion
Kalman filter
computer simulations
Kalman filter
computer simulations
Advisors
Titus, Harold A.
Date of Issue
1989-06
Date
June 1989
Publisher
Monterey, California. Naval Postgraduate School
Language
en_US
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.
Type
Thesis
Description
Series/Report No
Department
Electrical Engineering
Organization
Naval Postgraduate School (U.S.)
Identifiers
NPS Report Number
Sponsors
Funder
Format
42 p.:
Citation
Distribution Statement
Approved for public release; distribution is unlimited.
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.