Abstract:

To deal with the sensor resource scheduling in continual object tracking of low earth orbit (LEO) constellation, a real-time sensor scheduling model is established based on three parameters, i.e., tracking precision, resource slack, and equilibrium factor, according to an analysis of the sensor scheduling constraint factors. Furthermore, a non-myopic scheduling decision tree is developed, and combining the uniform cost search and pruning technology, a novel real-time sensor scheduling algorithm based on pruning is proposed. The simulation results indicate that the calculation load of the sensor scheduling algorithm is reduced obviously, especially to the cases of multi-target and longer step length, moreover, the tracking error of the proposed method is slightly lower than the myopic one.