融合多类型海洋重力数据算法仿真研究

基于地球物理信息的无源导航系统是未来辅助惯性导航系统的新方向。重力辅助导航是结合存储的重力图及实测的重力数据的一种定位手段。它的关键技术之一就是满足导航需要的重力图。海洋重力测量的方式包括卫星重力测量、航空重力测量、和海面重力测量,它们有各自的特点和适用范围。因此,有效的融合多类型的海洋重力信息对构建高精度的海洋重力图来说是尤为重要的。介绍了一种基于移去-恢复技术的融合方法,并通过仿真实验对算法进行评价,验证算法的效力,是构建高精度海洋重力图新的尝试。

Simulation of Combination Algorithm for Heterogeneous Marine Gravity Data

Passive navigation based on physical geography information is a new development direction to aid the inertial navigation system,in which gravity aided navigation is to localize the position of vehicle in the stored gravity map according to the gravity data measured in vehicle.One of its key technologies is a high accuracy gravity map that can meet the demands of navigation.The main gravity measurement manners are satellite altimetry,airborne gravity measurement and ship gravity measurement.These different ways have their own characteristic and adaptable area,reflecting the different frequency gravity information.Thus,how to effective make a combination of these gravity information is important.Combination method based on remove-restore technique was researched,and the simulations on the method were performed to evaluate the effect of the algorithm,and the result shows the method is promising.