Parameterized Information Fusion Technology Of Satellites Combined Orbit Determination With Applications

The parameterized information fusion technology based on sparse parameter modeling of satellite trajectory dynamic information and parameterized modeling of measurement information is the key technology of satellites combined orbit determination(COD) in space-ground-based synthetical information network. Taking the system science theories and system engineering technologies as guidances, the theories, models and methods of COD parameterized information fusion technology are studied in the thesis taking sparse parameter modeling and parameterized information fusion as breakthrough point, and the applied technology of low earth orbit(LEO) satellites COD based on bi-satellite positioning system (BPS) is discussed in representative research hiberarchy.The contributions and innovation points of the thesis are listed as follows.1) Requirements analyses and fundamental modeling of COD. The general COD data processing course which include COD system structure and measurement system characteristic analyses, sparse parameter modeling of trajectory dynamic information and parameterized modeling of measurement information, nonlinear semiparametric combined estimation algorithm design, COD precision synthetical evaluation is constructed by analyzing of COD system function requirements and data requirements, which expands and perfects the conception connotation and research denotation of traditional COD. Based on these, COD basal mathematic model based on bi-satellite range sum data and its numerical fusion algorithm are constructed.2) Sparse parameter modeling of orbit dynamics model and high precision denotation. Aiming at modeling errors of satellite dynamic models, a high precision denotation method of satellite orbit dynamics based on physics model and mathematics model with sparse parameters representation and time series analysis is presented by improving traditional method of dynamic model error compensation. Based on upbuilding weighting iterative sparse parameters estimation algorithm of trajectory perturbation deviation signal based on wavelet decomposition and time series parameters estimation algorithm of trajectory perturbation residual error signal, an improved Gauss-Newton iterative algorithm of high precision denotation model is brought forward. Theoretical analyses and simulation experiments results show that the modeling method can achieve effective compensation for physics model errors, and the COD precision can be gained better improvement.3 )The model error modeling method based on nonlinear semiparametric regression and precision estimation. Based on building COD multi-source fusion measurement models and multi-structural nonlinear algorithm, a modeling method of nonlinear semi-parametric COD model which associated parameterized modeling with non-parametric components expression is put forward aiming at model errors of COD nonlinear influencing factors, and the deviation correction simulation algorithm and COD precision estimation method based on data fusion process are built. Theoretical analyses and simulation experiments results show that the semi-parametric estimation method based on regularization matrix compensation and its deviation correction algorithm can ameliorate precision effectively considering model errors modeling.4) The layered research method of COD applied technology. Taking LEOs COD based on BPS as the engineering application background, a layered research method of COD applied technology based on observation data layer, model structure layer and strategy fusion layer is put forward. The improved variance component estimation optimal weighting method of homogeneous data with two-step system errors correction and the integrated weighting method based on model structure characteristics analyses and VCE estimation of heterogeneous data, multi-structural nonlinear regressive model and optimal weighting algorithm of COD system based on weighting factor, integrative COD model based on dynamic and kinematic orbit determination strategy fusion and the fusion weighting algorithm are constructed, and theoretical analyses and simulation computation results show that optimal weighting estimation algorithm of three layers can restrain nonlinear influence factor including dynamic modeling error and measure model errors to the effects of COD precision.