Other
Scientific paper
Sep 1992
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1992jgr....9714681r&link_type=abstract
Journal of Geophysical Research (ISSN 0148-0227), vol. 97, no. E9, p. 14,681-14,690.
Other
3
Gravitational Fields, Kalman Filters, Planetary Gravitation, Topography, Venus Surface, Bayes Theorem, High Resolution, Pioneer Venus 1 Spacecraft, Planetary Cores
Scientific paper
The anomalous gravity field of Venus shows high correlation with surface features revealed by radar. We extract gravity models from the Doppler tracking data from the Pioneer Venus Orbiter by means of a two-step process. In the first step, we solve the nonlinear spacecraft state estimation problem using a Kalman filter-smoother. The Kalman filter has been evaluated through simulations. This evaluation and some unusual features of the filter are discussed. In the second step, we perform a geophysical inversion using a linear Bayesian estimator. To allow an unbiased comparison between gravity and topography, we use a simulation technique to smooth and distort the radar topographic data so as to yield maps having the same characteristics as our gravity maps. The maps presented cover 2/3 of the surface of Venus and display the strong topography-gravity correlation previously reported. The topography-gravity scatter plots show two distinct trends.
Goldberg Z. M.
Reasenberg Robert D.
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