论文标题
评估超宽带技术作为基于BLE的位置估计的增强
Evaluation of Ultra Wide Band Technology as an Enhancement for BLE Based Location Estimation
论文作者
论文摘要
在本文的范围内，评估了对物体的精确定位，借助于超宽带技术。为此，实施了一个原型模块，用于与Decawave收发器DW1000一起使用，并将其添加到FruityMesh，这是公司M-Way Solutions的物联网（IoT）网格网络。网络的重点是基于蓝牙低能（BLE）的低功率通信。这包括例如建筑自动化，照明管理和资产跟踪。尤其是最后一个陈述的点可以从位置跟踪尽可能精确和较长的电池寿命中受益。因此，FruityMesh用于使用现有BLE消息执行基于信号强度的本地化。由于吸收，干扰和衍射，这些测量值倾向于波动，并允许在150万以内的定位精度。随着超宽带的整合和到达时间（TOA）方法，在这项工作的过程中，使得厘米最初的定位成为可能，与此同时，总体上只会造成较小的额外费用。由于额外硬件的连接与能源效率降低有关，因此首先开发了用于优化控件的算法，然后针对创建的方案进行了测试。除了基于运动的硬件控制外，还分析了各种配置和调整，以通过超宽带（UWB）的传输来减少功耗。最后，将开发的原型与现有资产跟踪的现实复制进行了比较，以评估生产应用程序中使用的好处。
In the scope of this paper, the precise positioning of objects with the help of Ultra Wide Band technology is evaluated. To achieve this, a prototype module for the use with the Decawave transceiver DW1000 was implemented and added to FruityMesh, an Internet of Things (IoT) mesh network of the company M-Way Solutions. The focus of the network is low-power communication based on Bluetooth Low Energy (BLE). This includes, for example, Building Automation, Lighting Management and Asset Tracking. Especially the last stated point benefits from a position tracking as precise as possible and a long battery life. Therefore, FruityMesh is used to perform a signal-strength based localization with the existing BLE messages. Due to absorption, interference, and diffraction, these measurements tend to fluctuate and allow a positioning accuracy within 1.5m. With the integration of Ultra Wide Band and the Time of Arrival (ToA) method, a centimeter-precise localization was made possible in the course of this work, which at the same time causes only small additional costs in general. Since the connection of extra hardware is associated with decreased energy efficiency, an algorithm for optimizing the control was first developed and then tested against the created scenarios. In addition to the motion-based control of the hardware, various configurations and adjustments were analyzed to reduce the power consumption by Ultra-Wideband (UWB) transmission. Finally, the developed prototype was compared with a realistic reproduction of the existing Asset Tracking to evaluate the benefits for the use in the productive application.
