A new approach for airborne vector gravimetry using GPS/INS |
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| Authors: | J H Kwon C Jekeli |
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| Institution: | (1) Department of Civil and Environmental Engineering and Geodetic Science, 2070 Neil Avenue, Columbus, OH 43210, USA e-mail: kwon.28@osu.edu; jekeli.1@osu.edu, US |
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| Abstract: | A new method for airborne vector gravimetry using GPS/INS has been developed and the results are presented. The new algorithm
uses kinematic accelerations as updates instead of positions or velocities, and all calculations are performed in the inertial
frame. Therefore, it is conceptually simpler, easier, more straightforward and computationally less expensive compared to
the traditional approach in which the complex navigation equations should be integrated. Moreover, it is a unified approach
for determining all three vector components, and no stochastic gravity modeling is required. This approach is based on analyzing
the residuals from the Kalman filter of sensor errors, and further processing with wavenumber coefficient filterings is applied
in case closely parallel tracks of data are available. An application to actual test-flight data is performed to test the
validity of the new algorithm. The results yield an accuracy in the down component of about 3–4 mGal. Also, comparable results
are obtained for the horizontal components with accuracies of about 6 mGal. The gravity modeling issue is discussed and alternative
methods are presented, none of which improves on the original approach.
Received: 18 April 2000 / Accepted: 14 August 2000 |
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| Keywords: | : Airborne vector gravimetry GPS INS Kalman filter Wavenumber coefficient filter |
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