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

机译：基于遗传算法的激光星际链路网络拓扑动态优化

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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.
机译：本文研究了导航星座中激光星际链路的网络拓扑动态问题。由于卫星间激光链路的重建时间相对较长，因此本文设想当网络拓扑发生变化时，多个卫星间激光链路会同时重建链路。因此，有必要在更改期间保持一定的性能。导航星座的星际链路需要平衡通信和星际轨道确定性能。本文提出了一种基于卫星间链路距离和链路上传输的数据量的链路传输成本，以衡量卫星间链路的通信性能，并通过精度的位置稀释来衡量轨道确定性能的方法。 。本文建立了一个多目标优化模型，旨在提高通信能力和星际轨道确定性能。该模型使用遗传算法解决了该问题。仿真结果表明，星际链路网络拓扑在通信性能和轨道确定性能上都有明显的提高，并且在网络变化时具有良好的通信性能。

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