The Innovation-Base Adaptive Estimation For Free Air Anomaly Solution In Airborne Gravimetry

The data of the gravity field play an important role in many disciplines.Acquiring the data in fast and economical way with the consideration of precision is the pursuit of many researchers.The method of gaining gravity field data in aircraft,which is called airborne gravimetry,can meet their needs.The technique,including the instrument and the software,of airborne gravimetry system in China lags behind the developed countries like Canada,America etc.Aiming at researching and developing the software for processing the data of airborne gravimetry system,the basic principles of gaining gravity anomaly in airborne gravimetry and the usage of Innovation-Based Adaptive Estimation,which is one of the main approaches of Kalman filtering,for airborne gravimetry were studied.The main works of this thesis are as follows:1.The basic principles of gaining gravity anomaly in airborne gravimetry were studied.2.The method of IAE and its application for airborne gravimetry system were studied.3.Model was set to validate the correctness and applicability of IAE.4.The influence on the result in Kalman filter caused by the value of the update measurement noise variance-covariance matrix was analyzed.5.The influence on the result in IAE caused by the size of the moving estimation window was analyzed.6.New blocks were added to the early program to apply the innovation-based adaptive estimation to the airborne gravimetry.