基于TDOA和AOA的5G室分场景三维定位方法

Three-dimensional positioning method of a 5G indoor distribution system based on TDOA and AOA

在智慧楼宇以及电力检修运维中,需要及时获取设备或人员位置信息。针对室内因非视距传输和多径效应引起的定位精度不高问题,提出了一种基于奇偶交错布局的室分与5G结合的室内三维定位方案。首先,采用到达时间差(time difference of arrival,TDOA)和到达角度(angle of arrival,AOA)融合定位。其次,把具体定位算法融入到定位架构里,基于边缘计算快速获取室内对应移动目标的位置信息。在进行TDOA定位过程中,MEC端的定位服务器结合压缩感知进行信道估计,并在分段正交匹配追踪(stagewise orthogonal matching pursuit,StOMP)算法的基础上加入奇异值进行降噪处理。在进行AOA定位过程中,先利用改进的波束空间变换技术构造矩阵进行降维,为保证降维过程中信息不损失,提出对附加角度误差进行分析处理,然后,采用多重信号分类(multiple signal classification,MUSIC)算法进行定位。最后,5GC核心网服务器利用Chan-Taylor算法进行TDOA/AOA融合定位。仿真结果证明了所提出的定位方法能够实现对移动目标的精准定位。

In smart buildings and electric power maintenance and operation,it is necessary to obtain equipment or personnel location information in a timely fashion.There is a problem of low indoor positioning accuracy caused by non-line-of-sight transmission and the multipath effect.Thus a three-dimensional indoor localization scheme based on the combination of room division and 5G is proposed.First,the time difference of arrival(TDOA)and the arrival Angle(AOA)are used to integrate the positioning.Second,the specific positioning algorithm is integrated into the positioning architecture,and the location information of the corresponding moving target is quickly obtained based on an edge calculation.During TDOA positioning,an MEC positioning server performs channel estimation,and adds singular value for noise reduction on the basis of a segment orthogonal matching tracking(StOMP)algorithm.During AOA positioning,improved beam space transformation technology is used to construct dimension reduction.To ensure no loss of information in dimension reduction,the additional angle error is analyzed and processed and then the multiple signal classification(MUSIC)algorithm is applied for positioning.Finally,the 5GC core network server uses the Chan-Taylor algorithm for TDOA/AOA fusion localization.Simulation results demonstrate that the proposed positioning method can achieve accurate positioning of the moving target.