低轨卫星星座动态波束关闭算法

针对低轨多波束卫星星座网络中空间段卫星对地覆盖不均匀导致某些区域相对密集,造成严重的波束间干扰与不必要的波束资源开销等问题,提出了在满足覆盖等要求下的波束关闭算法。以多波束低轨星座网络为研究对象,分析并建立了低轨星座网络波束关闭的最优化问题,进而分析并论证了该问题的NP完全属性,给出了探索式求解方法。以共计3 168个波束的铱星星座网络为仿真场景,仿真分析了所提出的探索式波束关闭算法。仿真结果表明,所提算法仅需要1 913个波束即可实现对全球区域的连续覆盖,降低了39.61%的波束资源开销。

Dynamic beam shut-off algorithm for LEO satellite constellation

Aiming at the problems of the relatively dense coverage of the satellites in the space segment of the low earth orbit (LEO) multibeam satellite constellation network,which resulted in relatively dense areas in some regions,causing severe inter-beam interference and unnecessary beam resource overhead,a beam shut-off algorithm was proposed with global coverage requirements.The dynamic beam shut-off (DBSO) optimization problem was formulated in LEO multibeam satellite constellation network.Then,the problem was proved to be NP-complete and a heuristic DBSO algorithm was proposed.Simulation scenario considers the Iridium constellation network scenario with total 3 168 beams,and it shows that the number of required activated beams is only 1 913 with 39.61% beam resource reduction.