Volume 38 Issue 8
Aug.  2013
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ZHONG Bo, LUO Zhicai, ZHOU Hao. Gravity Field Recovery Using Satellite Average Accelerations Derived from High-low Satellite-to-satellite Tracking[J]. Geomatics and Information Science of Wuhan University, 2013, 38(8): 902-906.
Citation: ZHONG Bo, LUO Zhicai, ZHOU Hao. Gravity Field Recovery Using Satellite Average Accelerations Derived from High-low Satellite-to-satellite Tracking[J]. Geomatics and Information Science of Wuhan University, 2013, 38(8): 902-906.
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Gravity Field Recovery Using Satellite Average Accelerations Derived from High-low Satellite-to-satellite Tracking

  • 1School of Geodesy and Geomatics,Wuhan University,129Luoyu Road,Wuhan 430079,China;2Key Laboratory of Geospace Environment and Geodesy,Ministry of Education,Wuhan University, 129Luoyu Road,Wuhan 430079,China

Funds: 国家973计划资助项目(2013CB733301,2013CB733302); 国家自然科学基金资助项目(41104014,41131067); 中国博士后科学基金助项目(20110491189,2012T50632)
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  • Received Date: May 19, 2013
  • Revised Date: May 19, 2013
  • Published Date: August 04, 2013
    Graphical Abstract
    • Abstract
  • The practical mathematical model for gravity field recovery using satellite average accelerations derived from SST-HL mode is discussed.As the numerical differentiation will rapidly amplify the high-frequency noise in orbit-derived accelerations,the filtering method and specific data processing scheme for suppressing the high-frequency noise of satellite average accelerations are presented.As a test,an Earth’s gravity field model WHU-GOCE-SST01S（RE） up to degree and order 100 is recovered with Kaula regularization constrain from 61-day GOCE kinematic orbits and accelerometer data.The result shows that the total accuracy of WHU-GOCE-SST01S（RE） is more accurate than EIGEN-CHAMP03S model and GOCONSGCF2TIMR1 model,which validates the effectiveness of the proposed data processing method.
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    张兴福沈云中,. 利用动力学法标校CHAMP卫星加速度计数据[J]. 武汉大学学报(信息科学版). 2007(02)[2] 赵齐乐郭靖,柳响林,施闯,. 利用星载GPS历元差分计算的平均加速度反演地球重力场[J]. 武汉大学学报(信息科学版). 2009(10)[3] 钟波汪海洪,罗志才,宁津生,. ARMA滤波在加速度法反演地球重力场中的应用[J]. 武汉大学学报(信息科学版). 2011(12)[4] 钟波宁津生,罗志才,周浩,. 联合GOCE卫星轨道和重力梯度数据严密求解重力场的模拟研究[J]. 武汉大学学报(信息科学版). 2012(10)
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