Abstract:

As various instruments are used for space targets tracking, data fusion is very notable for robust and accurate tracking by reducing the influences of the measurement uncertainties. The full data processing flow for space target tracking is firstly suggested based on dynamic modelling, realtime filter and multisensor fusion technology. Then, a robust fusion scheme is proposed to deal with the measurement uncertainties, such as the outofsequence measurements, the complexities of measurement errors, the disproportions of measurement coverage. After this, a fusion system for space target tracking is developed. The system introduces a modularized configuration to enhance the compatibility of other algorithms and to enlarge its applications to other tracking tasks. The performances of the system are validated by example applications.