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Integrated data processing for multi-satellite missions and recovery of marine gravity field

机译:用于多卫星任务和海洋重力场恢复的集成数据处理

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摘要

In order to eliminate the inconsistency of the existing data from multi-satellite missions, we propose a new method for optimal combination of altimeter data. In our data management system, the crossover adjustment is modified to two-step processing based on the a posteriori compensation theory of error; i.e., the crossover adjustment of condition equations is made in the first step, and the filtering and prediction of adjustment corrections done along each single pass in the second step. Using the new approach can simplify greatly the computational procedure of crossover adjustment, and the stability and reliability of its solution can be expected. The new method can be used for both local and global crossover adjustment problems. Finally, a practical altimeter dataset from Geosat, ERS-1, ERS-2, and TOPEX/ POSEIDON (T/P) is used as a case study to prove the efficiency of the integrated data processing method.
机译:为了消除多卫星任务中现有数据的不一致性,我们提出了一种新的高度计数据最佳组合方法。在我们的数据管理系统中,基于误差的后验补偿理论将交叉调整修改为两步处理;即,在第一步中进行条件方程式的交叉调整,而在第二步中沿着每个单遍进行调整校正的滤波和预测。使用新方法可以大大简化交叉调整的计算过程,并且可以预期其解决方案的稳定性和可靠性。新方法可用于本地和全局交叉调整问题。最后,以Geosat,ERS-1,ERS-2和TOPEX / POSEIDON(T / P)的实际高度计数据集为例,证明了集成数据处理方法的效率。

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