考虑不同相对重力仪贡献的高精度重力网分类处理模型  

Classification Processing Model of High-Precision Gravity Network Considering Contributions from Different Relative Gravity Gravimeters

作　　者：曾安敏[1,2] 万力强 ZENG Anmin;WAN Liqiang(Xi’an Institute of Surveying and Mapping,Xi’an 710054,China;State Key Laboratory of Spatial Datum,Xi’an 710054,China;College of Geological Engineering and Geomatics,Chang’an University,Xi’an 710054,China;The 20th Research Institute of China Electronic Group Corporation Xi’an 710068,China)

机构地区：[1]西安测绘研究所,西安710054 [2]空间基准全国重点实验室,西安710054 [3]长安大学地质工程与测绘学院,西安710054 [4]中国电子科技集团公司第二十研究所,西安710068

出　　处：《航天技术与工程学报》2025年第1期62-69,共8页

基　　金：国家自然科学基金资助项目(42388102,42374012)。

摘　　要：国家高精度重力网的建立常采用地面高精度绝对重力测量和相对重力联测数据精密处理得到,精细的平差处理模型、不同联测仪器资料的贡献大小确定对精密处理尤为重要。为此构造了一种抑制异常误差并动态调整仪器贡献的高精度重力网数据处理平差模型。从测量系统误差的影响分析入手,建立了仪器系统误差补偿的重力网平差函数模型;针对观测数据可能存在异常的实际情况,讨论了抑制异常误差影响的抗差估计模型;与传统的按绝对观测、相对观测分类方法不同,采用绝对观测固定权、相对观测按仪器分类的方法,依据设备类型构建了抗差方差分量模型,合理调整仪器间相对测量观测量的贡献;理论分析与实测高精度重力基本网计算结果表明,相较于常规的绝对观测、相对观测的分类估计方法,其构造的处理模型获得的重力成果平均精度从6.77 ugal提高到5.78 ugal,提高约15%。The establishment of the national high-precision gravity control network is usually completed by comprehensively processing the absolute and relative gravimetric connection data.In the establishment procedure,it is important to establish a precise function model and determine the contribution of the measurements from the different measuring instruments.This paper constructs a classification processing model suitable for the processing of high-precision gravity network measurements,in which the observations are classified and weighted according to the type of gravity measurement instruments.The system error of the gravity measurement is discussed and analyzed,the function model of the gravity adjustment is proposed for the system error compensation.To mitigate the impact of observation gross errors,a robust estimation model is discussed.To simultaneously handling the gross errors and reasonably adjust the contributions of observation data from the different instruments,the robust variance component model is discussed,in which the weight model of the absolute gravity measurement is fixed while the stochastic model of the relative gravity measurement is adjusted according to classification of relative gravity instruments.In traditional processing models,absolute gravity measurements and relative gravity measurements are treated as two separate types of observational data.Finally,it was verified by the measured high-precision gravity network data that the accuracy of the gravity results from the proposed classification processing model is increased from 6.77ugal to 5.78ugal,an increase of about 10%.

关 键 词：重力基准 重力绝对测量 相对重力联测 平差模型 异常误差 

分 类 号：P227[天文地球—大地测量学与测量工程]