Experimental Investigation on the Performance of Angle-of-Arrival-based Asset Localization in a Warehouse

Serene Abu-Sardanah, Jakob Loher, Yrina Guarisma, Daniela Dobre, Khilav Soni, O. Ramahi, G. Shaker
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Abstract

Accurate asset tracking and indoor localization (IL) is of interest in many applications including IoT sensing, shipping warehouse organization, and indoor navigation. Angle-based IL methods, such as angle-of-arrival (AOA), are known for their excellent accuracy. Moreover, their built-in support in the Bluetooth low energy (BLE) stack enables scalable and straight forward IL implementations. In this investigation, important considerations regarding the localization system parameters, including the number and location of anchor nodes, and tracked assets are explored.
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基于到达角的仓库资产定位性能实验研究
准确的资产跟踪和室内定位(IL)在许多应用中都很重要,包括物联网传感、航运仓库组织和室内导航。基于角度的IL方法,如到达角(AOA),以其优异的精度而闻名。此外,它们在蓝牙低功耗(BLE)堆栈中的内置支持使可扩展和直接的IL实现成为可能。在本研究中,探讨了定位系统参数的重要考虑因素,包括锚节点的数量和位置以及跟踪资产。
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