Optimization design of inter-satellite link (ISL) assignment parameters in GNSS based on genetic algorithm

Abstract

Global Navigation Satellite System (GNSS) inter-satellite links (ISLs) assignment parameters determine the topology of the satellite network, and directly affect the communication and measurement performance of the system. Key communication performance metric was developed based on the actual needs of the system. This paper studied the effect of time slice length and the number of slices in a polling cycle on the satellite network performance in GNSS. A double-loops algorithm is proposed to solve the optimization problem. Simulation results show that the average delay increases as the time slice length increases. Besides, a large value of the number of slices in a polling cycle is helpful to improve the orbit determination performance. Therefore, in order to improve the communication and measurement performance of the system, we can use both small time slice length and large number of slices in a polling cycle. The finding may give insight into the design of ISL assignment parameters in GNSS.