Methodologies And Technology Of Data Processing For Airborne Gravimetry

Giving a brief introduction of internally and externally current study situation about airborne gravity survey, I decide the topic, the content and ideas of this research paper.Starting with the basic theory of airborne gravity survey, this research systematically introduces different types of airborne gravity survey, mathematical model and error model for airborne gravity survey, introduces correction principles and calculation formulas in details, and systematically analyzes the survey’s requirements for accuracy and influence of time synchronization error, introducing an evaluation and calculation formulas for accuracy measurement.In this paper, I introduce methods and technologies of airborne gravity survey in filtering, including the principle and application design of FIR low-pass filtering. And I highlight Kalman smoothing technology, and also introduce the algorithm of the smoother, comparing and analyzing the features of the two mentioned technologies.I systematically introduce the DGPS positioning technology, research and analyse algorithms based on carrier phase, which can directly fix on the position, speed and acceleration.I also briefly introduce GT-1A airborne gravity survey system. Through deep analysis to flow of real-time control and post-mission processing, and the usage of bundled software of GT-1A system, I get hold of the basic idea and process of data processing.In this research, I also study the method of confirming the vertical acceleration of carriers, bringing forward a Kalman model to confirm vertical acceleration. This model corrects the errors existing in the model and greatly improves the accuracy of estimation. Based on this, I preliminarily research into how to use Kalman optimal linear smoothing technology to estimate vertical acceleration of carriers.I focus on the research the method to separate the acceleration of gravity and the moving-base acceleration based on Kalman smoothing. I give a systematic introduction to fundamental equalizations of GT-1A system data processing, establish a gravity anomaly stochastic model (simplification), derive and provide a model used to fulfill gravity anomaly separation, and propose the specific implementation plan based on Kalman smoother. For geophysical exploration, using Kalman smoothing technology to achieve gravity anomaly separation is a good choice.Through the study of this research, I preliminarily master the right method of the data processing for airborne gravity survey, which lays a solid foundation for the follow-up study.