Geometric sensitivity of localization using airborne mobile anchors with volume probabilistic multilateration

2016 IEEE Conference on Wireless Sensors (ICWiSE) Pub Date : 1900-01-01 DOI:10.1109/ICWISE.2016.8187758

Izanoordina Ahmad, N. Bergmann, R. Jurdak, B. Kusy

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引用次数: 1

Abstract

Locating fixed sensing devices with a mobile anchor is attractive for covering larger deployment areas. Probabilistic localization has been shown to reduce error over deterministic approaches, yet the performance sensitivity to the geometric arrangement of anchor beacon positions remains unexplored. This paper presents a detailed description of a new RSSI-based localization algorithm which uses a volumetric probability distribution function to find the most likely position of a node by information fusion from several mobile beacon radio packets. Results show a significant performance improvement of up to 80% over existing approaches. Secondly, simulations are conducted to determine the effect of the 3-D geometry of localization broadcast packets. Compared to both a symmetric circular arrangement of beacons, and an arrangement of beacons in a line, if beacon positions are allowed to move to a more asymmetric arrangement with a range of angles and heights, the localization error is reduced to approximately 1 metre or by up to 96% compared to a poor geometry. This is despite individual ranging errors of much more than 1 metre.

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基于体积概率乘法的机载移动锚定位几何灵敏度

定位带有移动锚的固定传感设备对于覆盖更大的部署区域很有吸引力。与确定性方法相比，概率定位已被证明可以减少误差，但对锚信标位置几何排列的性能敏感性仍未得到探索。本文详细描述了一种新的基于rssi的定位算法，该算法利用体积概率分布函数从多个移动信标无线分组中融合信息，找到节点最可能的位置。结果表明，与现有方法相比，该方法的性能显著提高了80%。其次，进行了仿真，确定了定位广播包三维几何形状的影响。与信标的对称圆形排列和信标的直线排列相比，如果信标位置允许移动到具有角度和高度范围的更不对称的排列，定位误差将减少到大约1米或与糟糕的几何形状相比高达96%。尽管单个的测距误差远远超过1米。

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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2016 IEEE Conference on Wireless Sensors (ICWiSE)

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