补偿海空重力测量动态效应剩余影响的通用模型

针对目前作业过程中普遍存在的测量动态环境效应剩余影响问题,在深入分析海空重力测量误差源形成机理及其变化特性基础上,提出了一种适用于补偿各类海空重力仪动态效应剩余影响的通用模型;研究探讨了通用模型形式优选和模型参数估计问题,将基于信息论的Akaike信息量准则引入通用模型表达式的优选过程,提出应用互相关分析方法对模型参数进行估计,在双重约束下构建了补偿动态效应剩余影响的优化模型。使用典型动态环境下的海面重力观测数据对该方法的有效性进行了验证,结果显示,海洋重力测量成果内符合精度从原先的±9.35×10^-5 m/s^2大幅提升到±1.01×10^-5 m/s^2,充分体现了本文方法和模型对消除高动态测量环境效应影响的优良特性。

A general model for compensating remainder dynamic environment effect on marine and airborne gravimetry

In view of the fact that there always existing remainder dynamic environment effect on marine and airborne gravimetry, after finishing a detail analysis on the mechanism of creating different kinds of measurement error source and their change characteristic, we propose a general model to compensate the remainder dynamic environment effect, which is suitable for different kinds of marine and airborne gravimeters. Optimum seeking method of general model expression and estimation method of model parameters are studied and discussed. The famous Akaike information criterion based on information theory is suggested to be used in optimum seeking method of general model expression. And a crosscorrelation analysis is used to make the estimation of model parameters. Finally, an optimum general model expression for compensating the remainder dynamic environment effect is determined under previous double restraining condition. An actual marine gravity measurement set is used as a case study to test the validity of the suggested method and model. It is showed that a distinct overall improvement is gained with the approach, the RMS error of crossover discrepancies is reduced from±9.35×10^-5m/s² with the original observed gravity data to±1.01×10^-5m/s² with the corrected data. This result embodies the excellent performance of the new method and model for eliminating high dynamic environment effect on marine and airborne gravimetry.