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A Robust Passive Target Localization for Substation Inspection of UAV in a GPS-denied Environment

机译:在GPS拒绝环境中,无人机的变电站检查的强大被动目标定位

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This paper addresses a conceptual study on a precise passive target localization approach for substation facilities inspection using unmanned aerial vehicle (UAV) under GPS-denied environments. First, a cruciform receiver array that provides the range difference (RD) measurements between a facility (receiver array) and a UAV (transmitter) is devised. Then, to effectively deal with the real-time and accurate localization performance issue, our RD-based target localization problem is reformulated from the viewpoint of the linear least-squares estimation theory, and constrained robust weighted least-squares (C-RWLS) estimation scheme is applied. The proposed method shows excellent location estimates with the help of hard constraints on the geometric relation to the transceivers. Also, it is suitable for real-time implementation due to its linear structure. The reliability of the proposed estimation method is demonstrated through simulations from various points of the UAV.
机译:本文涉及使用无人机(UAV)在GPS拒绝环境下使用无人机设施检查的精确被动目标定位方法的概念研究。 首先,设计了一种在设施(接收器阵列)和UAV(发送器)之间提供范围差(RD)测量的十字形接收器阵列。 然后,为了有效地处理实时和准确的本地化性能问题,我们从线性最小二乘估计理论的角度来重新重新改制基于RD的目标本地化问题,并受到约束的鲁棒加权最小二乘(C-RWLS)估计 计划是应用的。 该方法在与收发器的几何关系上的帮助下,借助于对收发器的几何关系的难度限制,显示出优异的位置估计。 此外,它适用于由于其线性结构而实时实现。 通过从UAV的各个点的模拟来证明所提出的估计方法的可靠性。

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