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在分相阵列雷达网络中用于多个智能目标跟踪的非近视光束调度.

Yuhang Hao1,2, Zengfu Wang1,2, José Niño-Mora3

  • 1School of Automation, Northwestern Polytechnical University, Xi'an 710072, China.

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|December 17, 2024
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概括
此摘要是机器生成的。

本研究引入了一种新的光束调度方法,用于阶段阵列雷达网络,以改进智能目标跟踪. 基于无香料采样的边际生产率 (US-MP) 政策提高了跟踪性能,并减轻了先前方法的退化.

关键词:
惠特尔指数是什么意思灯束调度 灯束调度 灯束调度无休止的强盗无休止的强盗目标追踪 目标追踪

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科学领域:

  • 雷达系统工程 雷达系统工程
  • 控制理论 控制理论
  • 信号处理 信号处理

背景情况:

  • 由于近视调度,分相阵列雷达网络在跟踪多个智能目标时面临性能下降.
  • 现有的方法与动态状态信息和非线性测量函数进行精确跟踪而扎.

研究的目的:

  • 通过解决近视调度的局限性来增强相位阵列雷达网络的跟踪性能.
  • 使用一种新的方法,为多个智能目标制定有效的光束调度政策.

主要方法:

  • 制定了光束调度问题作为一个不安的多臂强盗问题.
  • 采用无香料采样来预测边际生产率 (MP) 指数计算的动态和跟踪误差共变 (TEC) 状态.
  • 为目标选择提出了一个基于无香料采样的MP (US-MP) 指数政策.

主要成果:

  • 拟议的US-MP政策在实践场景的模拟中表现出有效性.
  • 带有标量卡尔曼波器的盗模型满足了可索引性的条件.
  • 美国MP政策适用于具有众多目标的大型雷达网络.

结论:

  • 美国-MP政策提供了与以往相比显著的改进,用于分阶阵列雷达的多目标跟踪方法.
  • 这种方法为动态雷达网络管理提供了强大且可扩展的解决方案.
  • 在现实的场景中验证了有效性,证实了其实际适用性.