On Numerical methods for determination of Earth gravity field model using mass satellite gravity gradiometry data

• Published in: Geodesy and Geodynamics Vol. 3; no. 1; pp. 57 - 62
• Main Authors: Guangbin, Zhu, Xiaotao, Chang, Xinfa, Li, Xinhang, Zhang, Yuxing, Li
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.02.2012; Satellite Surveying and Mapping Application Center, NASG, Bejing 100830, China%The First Institute of Surveying and Mapping of Hebei Province, Shijiazhuang 050031, China; KeAi Communications Co., Ltd
• Subjects: Cholesky decomposition; data processing; open multi-processing parallel algorithm; pre-conditioned conjugate gradient; satellite gravity gradiometry; 卫星重力梯度; 地球重力场模型; 并行算法; 数值方法; 测量数据; 组成方法; 计算效率; 预条件共轭梯度法; Cholesky decomposition; pre-conditioned conjugate gradient; open multi-processing parallel algorithm; satellite gravity gradiometry; data processing
• ISSN: 1674-9847
• DOI: 10.3724/SP.J.1246.2012.00057

On the basis of Space-Wise Least Square method, three numerical methods including Cholesky de- composition, pre-conditioned conjugate gradient and Open Multi-Processing parallel algorithm are applied into the determination of gravity field with satellite gravity gradiometry data. The results show that, Cholesky de- composition method has been unable to meet the requirements of computation efficiency when the computer hardware is limited. Pre-conditioned conjugate gradient method can improve the computation efficiency of huge matrix inversion, but it also brings a certain loss of precision. The application of Open Multi-Processing parallel algorithm could achieve a good compromise between accuracy and computation efficiency.