基于精细无线电地图重构的无人机定位研究  

Research on UAV localization based on refined radio map reconstitution

作　　者：樊宽刚 张小根[2,3] 刘汉森 FAN Kuangang;ZHANG Xiaogen;LIU Hansen(School of Electrical Engineering and Automation,Jiangxi University of Science and Technology,Ganzhou 341000,China;School of Mechanical and Electrical Engineering,Jiangxi University of Science and Technology,Ganzhou 341000,China;Institute of Permanent Maglev and Railway Technology,Jiangxi University of Science and Technology,Ganzhou 341000,China)

机构地区：[1]江西理工大学电气工程与自动化学院,江西赣州341000 [2]江西理工大学机电工程学院,江西赣州341000 [3]江西理工大学永磁磁浮技术与轨道交通研究院,江西赣州341000

出　　处：《传感器与微系统》2021年第11期47-49,53,共4页Transducer and Microsystem Technologies

基　　金：国家自然科学基金资助项目(61763018);江西省03专项及5G项目(20193ABC03A058);江西省教育厅重点项目(GJJ170493)。

摘　　要：针对现有的忽略无线电地图的分段传播结构的问题,提出了一种基于精细无线电地图的测量多个天线的信号强度来定位无人机(UAV)的新方法。基于路径损耗和阴影衰落模型,通过分段和接收信号强度模型来重建精细结构的无线电地图。采用最大似然法解决多个参数估计问题,最后通过迭代聚类重建无线电地图。实验结果表明:物理小区标识(PCI)的准确度和RMSE值分别为96.92%和0.2760,参考信号接收功率(RSRP)的准确度和RMSE值分别为95.81%和1.8634。评估指标的结果表明:与KNN和SVR相比,所提方法使用10000个训练样本达到了更优的重建误差效果。Aiming at the existing problem of ignoring segmented propagation structure of the radio map,a new method based on segmentation is proposed to locate unmanned aerial vehicle(UAV)by measuring the signal strength of multiple antennas.This new approach is based on path loss and shadow fading models,reconstructs a finely structured radio map by exploiting both segmentation and received signal strength models.This method uses the maximum likelihood approach to solve multiple parameter estimation problems.Finally,iterative clustering is used to reconstruct the radio map.The experimental results show that the accuracy and RMSE value of physical cell identifi cation(PCI)are 96.92%and 0.2760,respectively.The accuracy and RMSE value of reference signal receiving power(RSRP)are 95.81%and 1.8634,respectively.The results of evaluation indexes demonstrate that the proposed method achieves less reconstruction error using 10000 training samples compared to the KNN and SVR.

关 键 词：无人机 无线电地图 无线电-接收信号强度 物理小区标识 参考信号接收功率 

分 类 号：TN92[电子电信—通信与信息系统]