Acta Geodaetica et Cartographica Sinica ›› 2022, Vol. 51 ›› Issue (2): 192-200.doi: 10.11947/j.AGCS.2022.20210067

• Geodesy and Navigation • Previous Articles     Next Articles

Internal calibration method of GOCE gravity gradients

PAN Juanxia1, ZOU Xiancai1,2   

  1. 1. School of Geodesy and Geomatics, Wuhan University, Wuhan 430079, China;
    2. Key Laboratory of Geospace Environment and Geodesy, Ministry of Education, Wuhan University, Wuhan 430079, China
  • Received:2021-02-05 Revised:2021-11-24 Published:2022-02-28
  • Supported by:
    The National Natural Science Foundation of China(Nos. 41874021;42192532;41721003);Civil Aerospace "13th Five-Year" Preliminary Research Project

Abstract: The accurate calibration of the GOCE gravity gradiometer is one of the premises for determining the earth's gravity field model with high precision. L1b dataset of GOCE gradiometer and star sensors are used in the internal calibration. The combination of different star sensors by least-squares adjustment can prevent the propagation of the less accurate component due to the reference frame transformation, thus the accuracy of angular rates used by internal calibration can be improved. In this paper, GOCE data in November 2009 are used to verify the ESA's calibration method. On this foundation, considering the rotation matrices between star sensors and gradiometer are time-varying,improved calibration model is presented by using parameters of the rotation matrices. The analysis shows that the parameters are about 100 arcseconds with a liner drift of 3~30 arcseconds in this month. Based on ESA's internal calibration model considering parameters of three accelerometer pairs, a calibration by using transformation matrix from star sensors to gradiometer and the parameters of three accelerometer pairs is presented in this paper. The accuracy of gravity gradients after calibration shows the effectiveness of this method below frequency of 0.005 Hz. Possible developments of GOCE gradiometer calibration based on this method are discussed in this paper which provides foundation for processing of GOCE and other gravity satellites.

Key words: GOCE, gravity gradients, accelerometry, internal calibration, attitude reconstruction

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