摘要
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技术融合接收信号强度指示(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信息和计算RSSI的统计平均值,基于预先测量样本的方式,构建了一种类高斯分布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,得到待定位设备的位置坐标。搭建基于SX1280的验证平台,对该方法进行验证。理论分析和实验结果表明,融合RSSI和TOA的定位方法能够有效筛选数据,对比改进前的定位方法定位误差减小了20%,稳定性较高。所提出的LoRa定位算法计算覆盖范围较广,理论上可以覆盖到超过1 km的范围,实验场地最长半径达到了500 m,算法复杂度较小,实时性较好,易于实现,可用于室外定位。
LoRa positioning provides a low-cost,low-power solution for outdoor positioning today. In order to improve the accuracy of positioning,an outdoor positioning method based on LoRa technology combining received signal strength indicator( RSSI) and the time of arrival( TOA) is proposed. The TOA was used to filter the effective RSSI information and calculate the statistical average of RSSI. Based on the pre-measured samples,a ranging model for each positioning base station with a Gaussian distribution was constructed. After obtaining the distance mapping of the device to be located from the base station and the position coordinate mapping of the positioning base station,the position coordinates of the device were obtained through a weighted centroid positioning algorithm. A verification platform based on SX1280 was established to verify the method. Theoretical analysis and experimental results show that the positioning method combining RSSI and TOA can effectively filter the data and has high stability. The proposed LoRa positioning algorithm has a wide calculation coverage and can theoretically cover a range of more than 1 km. The longest radius of the experimental site reaches 500 m. The algorithm has less complexity,better real-time performance,and is easy to implement. It can be used for outdoor positioning.
作者
许璐
陈曦
丁子璇
胡静
宋铁成
XU Lu;CHEN Xi;DING Zi-xuan;HU Jing;SONG Tie-cheng(School of Information Science and Engineering,Southeast Univers ity,Nanjing 210096,China)
出处
《测控技术》
2020年第10期41-46,共6页
Measurement & Control Technology
