Toward a Gradiometer Analytic Model
The first solid attempt to model the data type, formulate the filter structure, and perform covariance, for an orbiting gravity gradiometer may be found in . To make early progress, many sweeping assumptions were made, and quite a bit was swept under the rug, although identified as such in the paper. In particular, a great deal of work was avoided by oversimplifying the dynamics. In this memo, I’ll introduce a much more elaborate and realistic model. The main new features are a general interia tensor for the floated instrument, air drag and radiation pressure models using cubic power spectra, and more reasonable kinematics. The theory for all this is developed below.
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- D Sonnabend & W. M McEneaney, “Gravity Gradient Estimation”, Presented at the Bierman Memorial Symposium, in Proc. IEEE Conference on Decision and Control, Austin TX, 12–88.Google Scholar
- WM McEneaney, “Gravity Gradiometer Filter Software Documentation”, JPL IOM 314.4–689, 2–20–89.Google Scholar
- D Sonnabend, “Terminal Covariance”, JPL EM 314–481, 6–11–90.Google Scholar
- D Sonnabend, “APRICOT: Instant Interactive Covariance”, JPL EM 314–493, 11–13–90.Google Scholar
- “U. S. Standard Atmosphere, 1976”; NOAA, NASA, USAF.Google Scholar
- D Sonnabend, “Time Averaged Noise”, JPL EM 314–494, 12–12–90.Google Scholar
- D Sonnabend, “Cubic Power Spectra”, JPL EM 314–507, 6–18–91.Google Scholar