Two Nodes for Positioning System

Abbas Albaidhani, Ammar Fahem, R. Arsat
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Abstract

Localization is an essential matter in monitoring and controlling a moving target. The localization could be distributed indoors and outdoors for three or more dimensions based on the required applications. For two-dimensional positioning, mathe-matically, at least three anchor nodes with known positions to locate a target are needed. The first two anchor nodes are utilized to compute the mobile position but with its ambiguous position. Then, the third node is used to eliminate the ambiguous position. This work presents an algorithm to eliminate the ambiguous position without using the third node by creating a criterion to select the correct position. The developed approach could be implemented in indoor or outdoor environments with specific constraints to eliminate the ambiguous position. With these constraints, the target position should be obtained in a perfect situation. The proposed approach is proven mathematically and evaluated using simulation experiments by MatLab and actual experiments using Ultra Wide Band (UWB) technology in the line-of-sight and non-line-of-sight conditions. The average accuracy of this approach in simulation and actual experiments is about 0.2721 $m$ 2 and 0.7630 $m$ 2 of mean square error (MSE), respectively,
双节点定位系统
定位是监测和控制运动目标的关键问题。根据需要的应用,定位可以分布在室内和室外的三个或更多的维度。对于二维定位,数学上至少需要三个已知位置的锚节点来定位目标。前两个锚节点用于计算移动位置,但其位置不明确。然后,使用第三个节点消除歧义位置。这项工作提出了一种算法,通过创建一个标准来选择正确的位置,从而消除不明确的位置,而不使用第三个节点。所开发的方法可以在具有特定约束的室内或室外环境中实施,以消除模糊位置。有了这些约束条件,就需要在理想的情况下获得目标位置。通过MatLab仿真实验和超宽带(UWB)技术在视距和非视距条件下的实际实验,对该方法进行了数学验证和评估。该方法在仿真和实际实验中的平均精度分别约为0.2721美元和0.7630美元的均方误差(MSE)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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