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Cooperative Robust Geometric Positioning Algorithm in Wireless Networks

机译:无线网络中的协同鲁棒几何定位算法

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In this paper, we propose a geometric positioning technique for cooperative localization in Wireless Networks. The proposed technique is based on building geometric constraints from radio observables. These constraints are then merged to estimate the true position. In this paper we address situations where blind nodes, due to the lack of radio observables, cooperate to estimate their positions. Compared to other techniques, Monte Carlo simulations illustrate interesting performances in terms of positioning accuracy and computation complexity and runtime.
机译:在本文中,我们提出了一种用于无线网络中的协作定位的几何定位技术。所提出的技术基于从无线电观察到的建立几何约束。然后将这些约束合并以估计真实位置。在本文中,我们地址盲节点由于缺乏无线可及观察来解决盲节点的情况,合作估计其位置。与其他技术相比,Monte Carlo模拟在定位精度和计算复杂性和运行时表示有趣的性能。

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