Modeling long-period noise in kinematic GPS applications |
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Authors: | Adrian A Borsa Jean-Bernard Minster Bruce G Bills Helen A Fricker |
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Institution: | (1) Institute of Geophysics and Planetary Physics, Scripps Institution of Oceanography, University of California at San Diego, 9500 Gilman Drive, Mailstop 0225, La Jolla, CA 92093-0225, USA;(2) Planetary Geodynamics Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA |
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Abstract: | We develop and test an algorithm for modeling and removing elevation error in kinematic GPS trajectories in the context of
a kinematic GPS survey of the salar de Uyuni, Bolivia. Noise in the kinematic trajectory ranges over 15 cm and is highly autocorrelated,
resulting in significant contamination of the topographic signal. We solve for a noise model using crossover differences at
trajectory intersections as constraints in a least-squares inversion. Validation of the model using multiple realizations
of synthetic/simulated noise shows an average decrease in root-mean-square-error (RMSE) by a factor of four. Applying the
model to data from the salar de Uyuni survey, we find that crossover differences drop by a factor of eight (from an RMSE of
5.6 to 0.7 cm), and previously obscured topographic features are revealed in a plan view of the corrected trajectory. We
believe that this algorithm can be successfully adapted to other survey methods that employ kinematic GPS for positioning. |
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Keywords: | Global positioning system (GPS) Noise Kinematic GPS Inverse theory salar de Uyuni ICESat |
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