A Method of Arc Priority Determination Based on Back-Propagation Neural Network

Due to the finite restricted ground TT&C resources, more and more conflicts appear caused by the increasing TT&C requirements of multi-satellite. The priority determination of TT&C arcs is affected by many factors. It is an important criterion of conflicts elimination for resources scheduling. This paper analyzes the main factors in practice, and put forward a method of using artificial neural network to solve the problem of uncertain information processing. Through training and learning the neural network time after time, established neural network can achieve the coefficients of the affected factors and the final priority of TT&C arcs. Simulation results demonstrate that the method of arc priority determination based on Back-Propagation (BP) neural network is feasible for the scheduling of TT&C resources and the adjustment in emergency.