RSSI或飞行时间为蓝牙低功耗定位?实验评价

D. Giovanelli, Elisabetta Farella
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引用次数: 19

摘要

在本文中,我们专注于蓝牙低功耗(BLE),特别是其用于测距,从观察到BLE中的RSSI数据几乎是免费的开始。SDK通常为开发人员提供了一种简单的方法来提取这些数据并使用它来实现他们的算法。然而,基于RSSI的定位技术有已知的局限性。用于定位目的的测距的另一种信息是飞行时间(ToF)。尽管如此,BLE API并没有提供这些数据,因此我们提出了一种实用的方法,可以在BLE之上提取ToF,以替代RSSI或与RSSI结合使用。此外,在本文中,我们发布了用于对BLE进行ToF测量的库的源代码,这些库可以单独使用,也可以作为定位算法的输入。我们在室内和室外测试了不同距离的测量值,都考虑了视线自由或被用户身体遮挡的情况。最后,我们评估了测距性能,测试可重复性,并将所得结果与基于RSSI的流行方法进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
RSSI or Time-of-flight for Bluetooth Low Energy based localization? An experimental evaluation
In this paper, we focus on Bluetooth Low Energy (BLE) and in particular on its use for ranging, starting from the observation that data on RSSI in BLE comes nearly for free. The SDK typically provides to developers an easy way to extract this data and use it to implement their algorithms. However, RSSI based localization techniques have known limits. An alternative information to be used in ranging for localization purposes is Time-of-Flight (ToF). Still, this data is not provided by the BLE API, therefore we propose a practical approach for ToF extraction on top of BLE to be used as alternative to or in combination with RSSI. Furthermore, with the paper, we release the sources of the library used to perform the ToF measurement on BLE, that can be used per se or as input for a localization algorithm. We tested the measurements indoor and outdoor at different distances, both considering Line-of-Sight free or occluded by user body. We conclude evaluating ranging performance, test repeatability and comparing the obtained results with the popular RSSI based approach.
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