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Earth SciencesGeodesy

Gravity Induced Position Errors in Airborne Inertial Navigation

Authors: Klaus-Peter Schwarz; OHIO STATE UNIV COLUMBUS DEPT OF GEODETIC SCIENCE AND SURVEYING
Abstract:
The report investigates the feasibility of improving airborne inertial navigation by use of gravity field approximations which are more accurate than the normal model presently applied. The effect of the anomalous gravity field on positioning is investigated by using a simplified dynamical error model and by deriving analytical expressions for the steady state error via the state space approach. In this approach, changes in the anomalous gravity field are cast into the form of first-order differential equations which are related to a position dependent covariance representation of the gravity field by way of the vehicle velocity. Different possibilities for a state space model of the anomalous field are discussed. The procedure chosen combines the consistency of the T.scherning-Rapp model with the advantages of a formulation in terms of Gauss-Markov processes by making use of the essential parameters of a covariance function proposed by Moritz. The expressions for the gravity induced position errors resulting from this approach are easy to compute for a wide variety of cases. The assumptions made to derive them are in general justifiable. Based on the available gravity field information a number of approximation models are proposed and expressed in terms of equivalent spherical harmonic expansions. Results show that the use of presently available global models would reduce the gravity induced position errors from Sigma = 150 m. Improved global models expected in the near future as for instance those from the GRAVSAT mission, would bring errors below Sigma = 50 m.

Pages: 60
Report Date: DEC 1981
Contract Number: F19628-79-C-0075
Report Number: A328311

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Keywords relating to this report:
*INERTIAL NAVIGATION
AIRBORNE
ERRORS
GRAVITATIONAL FIELDS
GRAVITY ANOMALIES
NAVIGATIONAL AIDS
PARTIAL DIFFERENTIAL EQUATIONS
POSITION FINDING
TIME DEPENDENCE
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