Control of unmanned aerial vehicles for passive detection and tracking of multiple emitters

P. Sarunic, R. Evans, W. Moran
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引用次数: 8

Abstract

An algorithm for trajectory optimization of autonomous aerial vehicles performing multiple target tracking is proposed. The problem is approached by formulating it as a partially observed Markov decision process (POMDP) and developing a moving-horizon solution taking into account short and long term costs. To evaluate the effectiveness of the approach a simulation involving multiple UAVs and targets is performed.
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无人机多辐射源被动探测与跟踪控制
提出了一种自主飞行器多目标跟踪的轨迹优化算法。该问题通过将其表述为部分可观察的马尔可夫决策过程(POMDP)并开发考虑短期和长期成本的移动视界解决方案来解决。为了评估该方法的有效性,进行了涉及多架无人机和目标的仿真。
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