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TDoA-Based Outdoor Positioning with Tracking Algorithm in a Public LoRa Network

机译:LoRa网络中基于TDoA的跟踪算法户外定位

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The performance of LoRa geolocation for outdoor tracking purposes has been investigated on a public LoRaWAN network. Time Difference of Arrival (TDoA) localization accuracy, update probability, and update frequency were evaluated for different trajectories (walking, cycling, and driving) and LoRa spreading factors. A median accuracy of 200 m was obtained for the raw TDoA output data. In 90% of the cases, the error was less than 480 m. Taking into account the road map and movement speed significantly improves accuracy to a median of 75 m and a 90th percentile error of less than 180 m.
机译:在公共LoRaWAN网络上已对用于户外跟踪目的的LoRa地理位置性能进行了研究。针对不同的轨迹(步行,骑车和驾驶)和LoRa扩展因子,评估了到达时间差(TDoA)定位精度,更新概率和更新频率。原始TDoA输出数据的平均精度为200μm。在90%的情况下,误差小于480μm。考虑到路线图和移动速度,可以将精度提高到75µm的中位数,而90%的误差小于180µm。

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