使用基于共识的协调进行分布式多目标搜索和跟踪分配

Tracie A. Severson, D. Paley
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引用次数: 3

摘要

提出了一种分布式的、基于共识的弹道导弹监视跟踪雷达资源优化管理方法。每个雷达通过平衡雷达负载和最小化总雷达使用量来确定其首选雷达到目标分配。利用分布式共识算法生成了一种对资源估计误差具有鲁棒性的唯一全局雷达目标分配算法。通过蒙特卡罗模拟验证了性能。
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Distributed multi-target search and track assignment using consensus-based coordination
This paper presents a distributed, consensus-based approach to optimize radar resource management for ballistic missile surveillance and tracking. Each radar determines their preferred radar-to-target assignment by balancing radar loading and minimizing total radar usage. A unique global radar-to-target assignment that is robust to resource estimation error is generated by a distributed consensus algorithm. Performance is validated via Monte Carlo simulations.
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