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

机译:基于TDOA的室外定位,具有公共LORA网络的跟踪算法

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摘要

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:在公共洛拉望网上调查了Lora地理位置对户外跟踪目的的表现。对抵达(TDOA)定位精度,更新概率和更新频率的时间差,对不同的轨迹(行走,骑行,驾驶)和LORA传播因子评估。为原始TDOA输出数据获得200米的中值精度。在90%的病例中,误差小于480米。考虑到路线图和运动速度显着提高了75米的中位数的准确性,而第90百分位数的误差小于180米。

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