Geomagnetic field modeling from satellite attitude control magnetometer measurements

[1] To demonstrate the utility of satellite attitude control magnetometer measurements for mapping main field variations, we analyzed the three-axis magnetometer (TAM) measurements that provide attitude control for the KOMPSAT-1 satellite. Initial processing involved transforming the TAM's magnetic measurements from the Earth-Centered Inertial coordinates (ECI) to the Earth-Centered Earth-Fixed coordinates (ECEF) and then to spherical coordinates. The magnetic field of the satellite body produces symmetric signatures in the ascending and descending orbital measurements and thus can be readily removed. Spectral correlation filtering of the orbital observations helped to eliminate the dynamic external field and solar activity noise components. The ascending and descending data were then spectrally reconstructed to estimate the total magnetic field with minimum track line noise. Correlation coefficients of 0.97 and 0.96 mark the correlation of the KOMPSAT-1 total geomagnetic intensity map with the Orsted and IGRF2000 core magnetic field models, respectively. Power spectra from Gauss coefficients of KOMPSAT-1 model showed closeness with the models from Orsted data and IGRF2000 model. The spherical harmonic coefficients calculated from the KOMPSAT-1 model by conjugate gradient inversion are strongly coherent with the Orsted and IGRF2000 coefficients through degree 9.

[1]  William H. Press,et al.  Numerical recipes , 1990 .

[2]  D. Alsdorf,et al.  Separation of lithospheric, external, and core components of the south polar geomagnetic field at satellite altitudes , 1994 .

[3]  Wallace H. Campbell,et al.  Introduction to Geomagnetic Fields , 1971 .

[4]  Byeong-Seok Seok,et al.  Technical Papers : Measurement Data Analysis of Three - Axis - Magnetometer in KOMPSAT - 1 , 2001 .

[5]  A. B. Chatfield.  Fundamentals of high accuracy inertial navigation , 1997 .

[6]  Hsing-Juin Lee,et al.  Integrated Energy Method for Propulsion Dynamics Analysis of Air-Pressurized Waterjet Rocket , 2001 .

[7]  John Leif Jørgensen,et al.  Ørsted satellite captures high‐precision geomagnetic field data , 2001 .

[8]  J. Cain.  MODELS OF THE EARTH'S MAGNETIC FIELD. , 1966 .

[9]  J. Cain,et al.  Geomagnetic spherical harmonic analyses: 1. Techniques , 1983 .

[10]  George M. Siouris,et al.  Aerospace Avionics Systems: A Modern Synthesis , 1993 .

[11]  J. Arkani‐Hamed,et al.  Magnetic susceptibility anomalies of lithosphere beneath eastern Europe and the Middle East , 1986 .

[12]  K. Jezek,et al.  Spectral attenuation of track-line noise , 1998 .

[13]  M. Hestenes,et al.  Methods of conjugate gradients for solving linear systems , 1952 .

[14]  Nils Olsen,et al.  First scalar magnetic anomaly map from CHAMP satellite data indicates weak lithospheric field , 2002 .

[15]  Hyo-Sung Ahn,et al.  Slowly varying bias of magnetometer based on orbit geometry , 2004 .

[16]  M. Foster,et al.  THE COEFFICIENT OF COHERENCE: ITS ESTIMATION AND USE IN GEOPHYSICAL DATA PROCESSING , 1967 .

[17]  Jeong-Hee Kim.  Improved recovery of gravity anomalies from dense altimeter data , 1995 .

[18]  Michael B. Jones,et al.  Analysis of anomaly correlations , 1997 .

[19]  Mioara Mandea,et al.  Ørsted Initial Field Model , 2000 .

[20]  Nils Olsen,et al.  A model of the geomagnetic field and its secular variation for epoch 2000 estimated from Ørsted data , 2002 .