A New Design Method of Store and Forward LEO Communication Satellite Constellation
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摘要: 针对低轨存储转发星座的特点以及传统星座设计方法无法同时优化覆盖性能和网络性能的不足,该文提出一种新型的兼顾覆盖性能以及网络性能的低轨存储转发星座设计方法,并采用非劣分层多目标进化算法(NSGA-II)优化该多目标多约束星座设计问题。通过基于STK和OPNET的协同优化仿真平台验证了该星座设计方法的有效性。
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关键词:
- 星座设计 /
- 存储转发 /
- 多目标优化 /
- 非劣分层多目标进化算法(NSGA-II) /
- 端到端时延
Abstract: According to the characteristics of the store and forward LEO communication satellite constellation and the issue that the traditional constellation design methods can not optimizes simultaneously the coverage performance and network performance, a new store and forward communication satellite constellation design method which balances the coverage and network performance, is proposed, and the Non-dominated Sorting Genetic Algorithm (NSGA-II) is used to optimize this multi-objective and multi-constrained constellation design. A collaborative optimization simulation platform based on STK and OPNET is built,and the simulation result shows the effectiveness of the proposed constellation design methods.
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