基于单设备 RSSI 和 DOA 测量的 BLE 设备定位

Network Pub Date : 2024-05-21 DOI:10.3390/network4020010
Harsha Kandula, Veena Chidurala, Yuan Cao, Xinrong Li
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引用次数: 0

摘要

室内定位服务通常使用蓝牙低能耗(BLE)设备,因为其能耗低且易于实施。设备监控、测距和资产跟踪等应用利用 BLE 信号的接收信号强度(RSS)来估计设备与接收器的距离。然而,在多径环境中,基于 RSS 的解决方案可能无法提供准确的估计。在这种环境下,带有天线阵列的接收器可用于计算飞行时间(ToF)差,从而计算蓝牙信号的到达方向(DoA)。此外,还使用了三角测量等其他技术,例如将多个发射器或接收器组成传感器网络。为了寻找丢失的物品,Tile© 等设备使用板载蜂鸣器通知用户它们的存在。在本文中,我们介绍了一个使用单个测量设备的系统,并描述了使用 RSS 估算 BLE 设备位置的测量方法。BLE 设备被配置为 Eddystone 信标,用于定期发送包含 RSS 信息的广告数据包。我们开发了一个智能手机应用程序来读取信标的 RSS 信息,设计了一种估算 DoA 的算法,并使用手机的内部传感器来评估 DoA 与真实方位的关系。所提出的测量方法可通过迭代测量进行资产跟踪,提供信标的方向,让用户每一步都更接近信标。接收器应用程序可轻松部署在智能手机上,而且正如所提供的结果所示,该算法可在 30° 范围内提供信标的方向。
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Localization of a BLE Device Based on Single-Device RSSI and DOA Measurements
Indoor location services often use Bluetooth low energy (BLE) devices for their low energy consumption and easy implementation. Applications like device monitoring, ranging, and asset tracking utilize the received signal strength (RSS) of the BLE signal to estimate the proximity of a device from the receiver. However, in multipath environments, RSS-based solutions may not provide an accurate estimation. In such environments, receivers with antenna arrays are used to calculate the difference in time of flight (ToF) and therefore calculate the direction of arrival (DoA) of the Bluetooth signal. Other techniques like triangulation have also been used, such as having multiple transmitters or receivers as a network of sensors. To find a lost item, devices like Tile© use an onboard beeper to notify users of their presence. In this paper, we present a system that uses a single-measurement device and describe the method of measurement to estimate the location of a BLE device using RSS. A BLE device is configured as an Eddystone beacon for periodic transmission of advertising packets with RSS information. We developed a smartphone application to read RSS information from the beacon, designed an algorithm to estimate the DoA, and used the phone’s internal sensors to evaluate the DoA with respect to true north. The proposed measurement method allows for asset tracking by iterative measurements that provide the direction of the beacon and take the user closer at every step. The receiver application is easily deployable on a smartphone, and the algorithm provides direction of the beacon within a 30° range, as suggested by the provided results.
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