The invention relates to the technical field of low-
orbit satellite communication, in particular to an
orbit optimization method and
system for dynamically and autonomously tracking a low-
orbit satellite based on a
ground station, and the method comprises the steps: collecting TLE orbit element data, constructing an SGP4
orbit prediction model, and obtaining a prediction result; low-earth-orbit
satellite orbits with different inclination angles are determined through STK
software modeling based on a
ground station, and corresponding standard results are obtained; comparing the prediction result with a
standard result to obtain an error result; dynamically optimizing the Bstar parameter based on an error result by adopting a
genetic algorithm, and determining an optimal Bstar parameter; adjusting the SGP4
orbit prediction model based on the optimal Bstar parameter, and obtaining an optimization result through the adjusted SGP4
orbit prediction model; according to the method, optimization is carried out based on an existing SGP4 model, optimal Bstar parameters are dynamically searched through a
genetic algorithm, accumulative errors caused by the fact that TLE data are not updated in time are compensated, stable tracking of a
ground station is guaranteed, and the precision of medium and long term orbit forecasting is improved.