Dynamic optimization of laser inter-satellite link network topology based on genetic algorithm

Wang Chengzhuo, Liu Suyang, Guo Xiye, Yang Jun
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引用次数: 5

Abstract

This paper studies the network topology dynamic problem of the laser inter-satellite link in the navigation constellation. Since the reestablishment time of the laser inter-satellite link is relatively long, this paper envisages that multiple laser intersatellite links reestablish links at the same time when the network topology changes. Therefore, it is necessary to maintain certain performance during the change. The inter-satellite link of the navigation constellation needs to balance the communication and the inter-satellite orbit determination performance. This paper proposes the link transmission cost based on the inter-satellite link distance and the amount of data transmitted on the link to measure the communication performance of the inter-satellite link, and the position dilution of precision to measure the performance of the orbit determination. In this paper, a multi-objective optimization model is established, aiming to improve the performance of the communication and inter-satellite orbit determination. The model used genetic algorithm to solve the problem. The simulation results have shown that the inter-satellite link network topology witnessed an obvious improvement in both the communication performance and the orbit determination performance, and has good communication performance when network changes.
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基于遗传算法的激光星间链路网络拓扑动态优化
本文研究了导航星座中激光星间链路的网络拓扑动态问题。由于激光星间链路重建时间较长,本文设想当网络拓扑发生变化时,多个激光星间链路同时重建链路。因此,有必要在变更期间保持一定的性能。导航星座星间链路需要平衡通信性能和星间定轨性能。本文提出了基于星间链路距离和链路上传输数据量的链路传输成本来衡量星间链路的通信性能,以及位置精度稀释来衡量星间链路的定轨性能。为了提高通信和星间定轨性能,本文建立了多目标优化模型。该模型采用遗传算法求解该问题。仿真结果表明,星间链路网络拓扑结构在通信性能和定轨性能方面都有明显改善,并且在网络变化时具有良好的通信性能。
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