对基于地面的太空目标监视雷达网络的资源调度技术的调查,专注于编目任务
Yali Liu1, Wei Xiong1, Xiaolan Yu1
1Graduate School, Space Engineering University, Beijing 101416, China.
Sensors (Basel, Switzerland)
|March 14, 2026
概括
本综述探讨了对雷达网络的任务资源安排进行目录化,这对于空间局势意识至关重要. 它分析算法,平衡复杂的目标和限制,以有效利用网络.
科学领域:
- 空间 情境意识 空间 情境意识
- 计算机科学 计算机科学
- 运营研究 运营研究
背景情况:
- 编目任务资源调度对于优化地面雷达网络至关重要.
- 高效的调度支持空间局势意识 (SSA),通过严格的时间限制来管理大规模任务.
研究的目的:
- 系统地审查有关编目资源调度方法的当前研究.
- 分析优化目标,约束和关键子问题,如优先级建模和冲突解决.
- 评估主流算法,并讨论未来的研究方向.
主要方法:
- 关于编目资源调度算法的文献综述.
- 优化目标,约束,优先级建模和冲突解决的分析.
- 对这个领域的多目标优化算法的比较.
主要成果:
- 概述了资源规划中的常见优化目标和约束.
- 审查了主流算法的范式,性能和局限性.
- 现有算法的性能和操作边界进行了比较.
结论:
- 资源编程目录在大型,稀疏的解决方案空间内平衡多个目标方面面临挑战.
- 需要进一步研究算法融合,维护多样性和计算效率.
- 未来的方向包括解决雷达网络调度的多目标优化核心挑战.
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