卫星重力梯度恢复地球重力场的时域法研究  

TIME DOMAIN LEAST SQUARES METHOD FOR RECOVERING EARTH'S GRAVITY FIELD BY SATELLITE GRAVITY GRADIENT

作　　者：邹正波[1] 罗志才[2] 邢乐林[1] 吴云龙[2] 李辉[1] 

机构地区：[1]中国地震局地震研究所 [2]武汉大学测绘学院

出　　处：《大地测量与地球动力学》2007年第3期44-49,共6页Journal of Geodesy and Geodynamics

基　　金：国家自然科学基金(40374006);辽宁工程技术大学地理空间信息技术与应用实验室开放基金

摘　　要：由于卫星重力梯度技术能够有效补偿重力场信号随卫星高度增加快速衰减的影响,因此GOCE卫星的发射使得利用重力梯度测量数据恢复高精度重力场模型成为可能。以轨道摄动理论为基础,利用时域最小二乘法,分析重力梯度卫星的轨道高度、轨道倾角、卫星寿命(数据长度)、重力梯度测量精度以及数据采样频率等对其恢复地球重力场误差的影响。结果表明:时域最小二乘法适合于卫星重力梯度测量的误差分析和方案设计。Since the attenuation of the gravitaty field with altitude increasing can be sufficiently compensated by satellite gravity gradiometry, it is possible to recover earth＇ s gravity field with higher precision. On the basis of the satellite orbit perturbation theory, the error of gravity field model from satellite gravity gradiometry mission is analyzed with the time-wise least square method. And the effects of gravity field on the accuracy are presented in maps, due to the choice of SGG parameters （ such as satellite＇ s altitude, sampling rates, inclination of satellite and accuracy of gradiometery）. The results indicate that time domain least-square method is suitable for the error analy- sis and the mission design of the measurement of satellite gravity gradiometery.

关 键 词：GOCE卫星 地球重力场 卫星重力梯度 时域最小二乘法 误差分析 

分 类 号：P228[天文地球—大地测量学与测量工程]