无线传感器网络
惯性测量装置
跟踪系统
跟踪(教育)
人工智能
全球导航卫星系统应用
计算机视觉
卡尔曼滤波器
无线
作者
Nico Podevijn,Jens Trogh,Michiel Aernouts,Rafael Berkvens,Luc Martens,Maarten Weyn,Wout Joseph,David Plets
出处
期刊:Sensors
[MDPI AG]
日期:2020-10-14
卷期号:20 (20): 5815-
被引量:2
摘要
In contrast to accurate GPS-based localization, approaches to localize within LoRaWAN networks offer the advantages of being low power and low cost. This targets a very different set of use cases and applications on the market where accuracy is not the main considered metric. The localization is performed by the Time Difference of Arrival (TDoA) method and provides discrete position estimates on a map. An accurate tracking-on-demand mode for retrieving lost and stolen assets is important. To enable this mode, we propose deploying an e-compass in the mobile LoRa node, which frequently communicates directional information via the payload of the LoRaWAN uplink messages. Fusing this additional information with raw TDoA estimates in a map matching algorithm enables us to estimate the node location with a much increased accuracy. It is shown that this sensor fusion technique outperforms raw TDoA at the cost of only embedding a low-cost e-compass. For driving, cycling, and walking trajectories, we obtained minimal improvements of 65, 76, and 82% on the median errors which were reduced from 206 to 68 m, 197 to 47 m, and 175 to 31 m, respectively. The energy impact of adding an e-compass is limited: energy consumption increases by only 10% compared to traditional LoRa localization, resulting in a solution that is still 14 times more energy-efficient than a GPS-over-LoRa solution.
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