Improving gravity estimation accuracy for the GT-2A airborne gravimeter using spline-based gravity models

Авторы: Vyazmin V.S., Bolotin Y.V., Smirnov A.O.
Сборник: International Association of Geodesy Symposia
Год издания: 2020
Издательство: Springer-Verlag
Местоположение издательства: Heidelberg, Germany
Первая страница: 1
Последняя страница: 8
DOI: 10.1007/1345_2020_112
Аннотация: In this article, we propose a technique for processing airborne gravimetry measurements at repeat drape lines. To model gravity along a line, we use cubic B-splines. The unknown parameters of the model (the spline coefficients) are to be estimated from the measurements. In order to take into account dependance of gravity on position,the same set of the spline coefficients is assumed for gravity modeling at each repeat line. Gravity estimation is performed with the Kalman filter. The spline coefficients are included in the state vector of the filter as unknown constants. The developed estimation algorithm was tested using measurements of the GT-2A gravimeter collected at repeat drape lines. The results are compared with those obtained with the standard technique, in which gravity is modeled as a stochastic process in the time domain. An increase in accuracy is noted.
Добавил в систему: Вязьмин Вадим Сергеевич

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