超宽带技术对基于BLE的位置估计的增强作用
Evaluation of Ultra Wide Band Technology as an Enhancement for BLE Based Location Estimation
摘要：
在本文的范围内，超宽带技术的帮助下的对象的精确定位进行了评估。为了实现这一目标，我们实现了一个用于Decawave收发器DW 1000的原型模块，并将其添加到M-Way Solutions公司的物联网（IoT）网状网FruityMesh中。网络的重点是基于蓝牙低功耗（BLE）的低功耗通信。例如，这包括楼宇自动化、照明管理和资产跟踪。特别是最后一个点受益于尽可能精确的位置跟踪和较长的电池寿命。因此，FruityMesh用于利用现有BLE消息执行基于信号强度的定位。由于吸收、干扰和衍射，这些测量往往会波动，定位精度在1.5米以内。随着超宽带和到达时间（ToA）方法的集成，在这项工作的过程中，厘米精度的定位是可能的，这在同一时间只会导致小的额外成本一般。由于连接额外的硬件会降低能源效率，因此首先开发了一种优化控制的算法，然后针对所创建的场景进行测试。除了基于运动的硬件控制，各种配置和调整进行了分析，以减少超宽带（UWB）传输的功耗。最后，将开发的原型与现有资产跟踪的现实复制品进行比较，以评估在生产应用中使用的好处。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
