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基于卫-卫跟踪观测技术利用能量守恒法恢复地球重力场的数值模拟研究
引用本文:郑伟,邵成刚,罗俊,许厚泽. 基于卫-卫跟踪观测技术利用能量守恒法恢复地球重力场的数值模拟研究[J]. 地球物理学报, 2006, 49(3): 712-717
作者姓名:郑伟  邵成刚  罗俊  许厚泽
作者单位:华中科技大学物理系,武汉,430074;中国科学院测量与地球物理研究所,武汉,430077
基金项目:国家自然科学基金项目(40174049和40234039)资助.
摘    要:根据卫-卫跟踪观测技术的测量原理,基于能量守恒法建立了一种新的双星相互跟踪和三星相互跟踪的卫星观测方程. 通过数值模拟,采用预处理共轭梯度法恢复120阶地球重力场. 模拟结果表明:第一,双星相互跟踪恢复地球重力场的精度和美国喷气动力实验室公布的EIGEN GRACE02S的结果相符合;第二,三星相互跟踪恢复地球重力场的精度较双星提高约2倍.

关 键 词:地球重力场  GRACE卫星  卫-卫跟踪  能量守恒法  预处理共轭梯度法
文章编号:0001-5733(2006)03-0712-06
收稿时间:2005-08-16
修稿时间:2005-08-162006-02-28

Numerical simulation of Earth's gravitational field recovery from SST based on the energy conservation principle
ZHENG Wei,SHAO Cheng-Gang,LUO Jun,HSU Houtse. Numerical simulation of Earth's gravitational field recovery from SST based on the energy conservation principle[J]. Chinese Journal of Geophysics, 2006, 49(3): 712-717
Authors:ZHENG Wei  SHAO Cheng-Gang  LUO Jun  HSU Houtse
Affiliation:1.Department of Physics, Huazhong University of Science and Technology, Wuhan 430074, China 2 Institute of Geodesy and Geophysics, Chinese Academy of Sciences, Wuhan 430077, China
Abstract:Based on the measurement principle of Satellite-to-Satellite Tracking mission(SST),the new and effective observation equations of two satellites and three satellites are established,respectively using the energy conservation principle.The high-accuracy Earth's gravitational field up to degree and order 120 is recovered through numerical simulation by applying an improved pre-conditioned conjugate-gradient(PCCG) iterative approach.The simulated results show that the accuracy of the Earth's gravitational field recovery using two satellites is close to the results of EIGEN-GRACE02S publicized by Jet Propulsion Laboratory(JPL) in America,and the accuracy of the Earth's gravitational field recovery using three satellites is about 2 times higher than that using two satellites.
Keywords:Earth's gravitational field  GRACE satellites  Satellite-to-satellite tracking mission  Energy conservation principle  Pre-conditioned conjugate-gradient approach
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