Probabilistic error analysis of airborne gravimetry
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Date
1970-06
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Ohio State University. Division of Geodetic Science
Abstract
An error analysis based on second order stochastic process theory is performed for airborne gravimetry. Only gravimetry in the traditional sense is considered as opposed to gravity-gradient methods. Stochastic error models are developed and computer programs for the final formulas have been written. Sample computations indicate that gravity averages over about 100 km may be seriously affected by undetected variations in height, velocity, and azimuth, as well as by deviation from the optimal filter due to lack of knowledge about the medium frequent portion of the power spectra of gravity variation and noise.
Description
Prepared for Air Force Cambridge Research Laboratories, United States Air Force, Bedford, Massachusetts: Contract No. F19628-69-C0127, Project No. 7600, Task No. 760002, 04