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RSSI or Time-of-flight for Bluetooth Low Energy based localization? An experimental evaluation

机译:RSSI或基于蓝牙低功耗本地化的飞行时间?实验评估

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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.
机译:在本文中,我们将重点放在蓝牙低功耗(BLE)上,尤其是将其用于测距,这是从观察到BLE中RSSI上的数据几乎是免费的开始的。该SDK通常为开发人员提供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。但是,基于RSSI的定位技术具有已知的局限性。为了进行定位而在测距中使用的替代信息是飞行时间(ToF)。尽管如此,BLE API仍未提供此数据,因此我们提出了一种在BLE之上提取ToF的实用方法,以用作RSSI的替代方法或与RSSI结合使用。此外,在本文中,我们发布了用于在BLE上执行ToF测量的库的资源,这些资源本身可以用作本地化算法或作为本地化算法的输入。我们考虑了视线自由或被用户身体遮挡的情况,对室内和室外不同距离的测量进行了测试。我们得出结论,评估测距性能,测试可重复性,并将获得的结果与基于RSSI的流行方法进行比较。

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