New algorithm for gravity vector estimation from airborne data using spherical scaling functions

Автор: Vyazmin V.S.
Сборник: International Association of Geodesy Symposia
Год издания: 2020
Издательство: Springer-Verlag
Местоположение издательства: Heidelberg, Germany
Первая страница: 1
Последняя страница: 7
DOI: 10.1007/1345_2020_113
Аннотация: The paper presents an approach to determination of the gravity disturbance vector from airborne gravimetry measurements at an aircraft's flight path. The approach is based on INS/GNSS integration. To improve observability of the gravity horizontal components, which are observed in combination with the INS systematic errors, we use a local spatial model of gravity. We parameterize the disturbance potential in the observation area using the spherical scaling functions. The unknown coefficients of the parameterization and the INS systematic errors are estimated simultaneously using the Kalman filter. Due to ill-conditioning of the estimation problem, the information form of the Kalman filter and regularization are used. The numerical results obtained from simulated data processing shows that the developed approach is capable to improve accuracy of the gravity horizontal component determination in comparison with the traditional approach based on modeling each gravity component in the time domain.
Добавил в систему: Вязьмин Вадим Сергеевич

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