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本文摘要:LoRa positioning provides a low-cost,low-power solution for outdoor positioningtoday.In order to improve the accuracy of positioning,an outdoor positioningmethod based on LoRa technology combining received signal strength indicator(RSSI) a

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LoRa positioning provides a low-cost,low-power solution for outdoor positioningtoday.In order to improve the accuracy of positioning,an outdoor positioningmethod based on LoRa technology combining received signal strength indicator(RSSI) and the time of arrival (TOA) is proposed.The TOA was used to filter theeffective RSSI information and calculate the statistical average of RSSI.Basedon the pre-measured samples,a ranging model for each positioning base stationwith a Gaussian distribution was constructed.After obtaining the distancemapping of the device to be located from the base station and the positioncoordinate mapping of the positioning base station,the position coordinates ofthe device were obtained through a weighted centroid positioning algorithm.Averification platform based on SX1280 was established to verify themethod.Theoretical analysis and experimental results show that the positioningmethod combining RSSI and TOA can effectively filter the data and has highstability.The proposed LoRa positioning algorithm has a wide calculationcoverage and can theoretically cover a range of more than 1 km.The longestradius of the experimental site reaches 500 m.The algorithm has lesscomplexity,better real-time performance,and is easy to implement.It can be usedfor outdoor positioning.

LoRa(Long Range)定位为当今户外定位提供了一种低成本、低功耗的解决方案。为了提高定位的准确性提出一种基于LoRa技术融合吸收信号强度指示 (RSSI) 和信号到达时间 (TOA)的户外定位方法。通过TOA筛选有效的RSSI信息和盘算RSSI的统计平均值基于预先丈量样本的方式构建了一种类高斯漫衍的每个定位基站对应测距模型获取待定位设备距离基站的距离和定位基站的位置坐标映射后通过加权质心定位算法获得待定位设备的位置坐标。

搭建基于SX1280的验证平台对该方法举行验证。理论分析和实验效果讲明融合RSSI和TOA的定位方法能够有效筛选数据,对比革新前的定位方法定位误差减小了20%稳定性较高。所提出的LoRa定位算法盘算笼罩规模较广理论上可以笼罩到凌驾1 km的规模实验园地最长半径到达了500 m算法庞大度较小实时性较好易于实现可用于室外定位。

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