论文标题
秘密视频跟踪和监视的轨迹,推进和推力力的联合优化
Joint Optimization of Trajectory, Propulsion and Thrust Powers for Covert UAV-on-UAV Video Tracking and Surveillance
论文作者
论文摘要
合法监控无人机(或监视器)对可疑无人机(UAV)的自主跟踪对公共安全和保障至关重要。由于通常是非凸进的推进和推力功率功能,在构想监视意图的同时优化监视器的轨迹是不平凡的。本文提出了一个新颖的框架,以共同优化推进力和推力功率,以及太阳能监视器的3D轨迹,该显示器可以进行掩护,基于视频的,无人用的UAV跟踪和监视。提出了一个多目标问题,以最大程度地减少监视器的能量消耗,并最大程度地减少距离保持和高度的加权总和,从而衡量显示器的掩饰。基于无人机推进,推力和盘旋的实用功率模型以及收获的太阳能的模型,该问题对于现有求解器而言是无键的,并且是无形的。我们通过可变替换来传达推进能力,并使太阳能线性化。通过连续的凸近似,随后通过拧紧的约束转化了最终的问题,并通过近端差异算法有效地解决了多项式时间内的外推算法。建议的计划也可以在线应用。与部分或没有伪装的基线方案相比,广泛的模拟证实了该方案的优点。
Autonomous tracking of suspicious unmanned aerial vehicles (UAVs) by legitimate monitoring UAVs (or monitors) can be crucial to public safety and security. It is non-trivial to optimize the trajectory of a monitor while conceiving its monitoring intention, due to typically non-convex propulsion and thrust power functions. This paper presents a novel framework to jointly optimize the propulsion and thrust powers, as well as the 3D trajectory of a solar-powered monitor which conducts covert, video-based, UAV-on-UAV tracking and surveillance. A multi-objective problem is formulated to minimize the energy consumption of the monitor and maximize a weighted sum of distance keeping and altitude changing, which measures the disguising of the monitor. Based on the practical power models of the UAV propulsion, thrust and hovering, and the model of the harvested solar power, the problem is non-convex and intangible for existing solvers. We convexify the propulsion power by variable substitution, and linearize the solar power. With successive convex approximation, the resultant problem is then transformed with tightened constraints and efficiently solved by the proximal difference-of-convex algorithm with extrapolation in polynomial time. The proposed scheme can be also applied online. Extensive simulations corroborate the merits of the scheme, as compared to baseline schemes with partial or no disguising.