面向全灵活载荷的高通量卫星波束覆盖区域调整算法OA
Beam Coverage Area Adjustment Algorithm for High-throughput Satellite with Full Flexible Payload
针对传统静态波束覆盖方法和现有波束覆盖区域调整算法资源浪费大、匹配程度低、初始解对最终结果影响大等局限性问题,提出一种基于用户优先级与地理位置、面向全灵活载荷的高通量卫星波束覆盖区域调整算法.该算法通过顺序确定波束中心、在波束容量与波束直径的约束下分配用户,并为未分配用户动态创建新波束,实现通信资源的按需分配.仿真结果表明,该算法在用户满足率和资源利用率方面优于粒子群优化(PSO)算法,可提高全灵活载荷资源管控的有效性与管控效率.
In response to the limitations of traditional static beam coverage methods and existing beam coverage area adjustment algorithms,such as high resource waste,low matching degree,and significant impact of initial solutions on the final results,a beam coverage area adjustment al-gorithm based on user priority and geographical location is proposed in this paper.The algorithm determines the beam centers in a sequential manner,assigns users under the constraints of beam capacity and beam diameter,dynamically creats new beams for unassigned users,and can allocate communications resources on-demand.The simulation results show that the proposed algorithm outperforms particle swarm optimization(PSO)algorithm in terms of user satisfaction rate and resource utilization efficiency,and can improve the effectiveness and efficiency of full flexible pay-load resource management.
朱浩宁;李静涛;曾令超;董赞扬
中国空间技术研究院通信与导航卫星总体部,北京 100094中国空间技术研究院,北京 100094中国空间技术研究院通信与导航卫星总体部,北京 100094中国空间技术研究院通信与导航卫星总体部,北京 100094
信息技术与安全科学
高通量卫星全灵活载荷波束覆盖覆盖区域规划
high-throughput satellitefull flexible payloadbeam coveragecoverage area planning
《航天器工程》 2026 (2)
43-56,14
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