一种节能的UWB-RF混合室内距离估计系统的设计

Sabrine Khriji, Dhouha El Houssaini, O. Kanoun
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引用次数: 0

摘要

无线传感器网络(WSN)通过提供不同的服务,包括状态机监控、预测性维护和车辆/商店跟踪,在现代应用中发挥着重要作用。在这些应用中,应用定位方法来高精度地识别传感器节点的当前位置是至关重要的。由于传感器节点的能量约束,在进行定位过程中需要高度考虑能量消耗。为此,本文旨在设计一种节能、准确的定位系统。因此,设计了一种涉及超宽带(UWB)技术和射频(RF)收发器的新型混合解决方案。UWB基于Decawave的DWM1000收发器,该收发器以高功耗提供精确的距离测量。为降低功耗,节点间的数据传输采用低功耗射频收发器。实验验证了该结构在功耗和精度方面都有良好的性能。该系统的整体功耗降低,并实现了10厘米的精度水平。
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Design of an Energy-efficient Hybrid UWB-RF Indoor Distance Estimation System
Wireless Sensor Network (WSN) plays a significant role in modern applications by offering different services, including state machines monitoring, predictive maintenance, and vehicle/store tracking. In such applications, it is crucial to apply localization methods to identify the current location of sensor nodes with high accuracy. Due to the energy constraint of sensor nodes, the energy consumption needs to be highly considered while performing the localization process. In this regard, this paper aims to design an energy-efficient and accurate localization system. Therefore, a novel hybrid solution is designed involving the Ultra Wide Band (UWB) technology and Radio Frequency (RF) transceiver. The UWB is based on Decawave’s DWM1000 transceiver, which provides accurate distance measurements with a high power consumption. To reduce the power consumption, the data transmission between nodes is performed by the low-power RF transceiver. Using this architecture, the experimental validation shows a good performance in both power consumption and accuracy. The system’s overall power consumption is reduced as well as a 10-centimeter accuracy level is achieved.
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