基于CFR虚拟阵列天线的AOA室内定位

AOA Indoor Localization Based on the CFR Virtual Array Antenna

准确地估计信号的到达角(Angle Of Arrival,AOA)为实现在室内高精度定位提供了可能,为了能够准确地估计室内多径信号的AOA,并提取出直射路径的AOA信息进行定位,本文提出一种利用信道频率响应信息(Channel Frequency Response,CFR)扩展阵列天线的亚米级室内定位系统.首先,采集CFR信息进行AOA和信号到达时间(Time Of Arrival,TOA)的联合估计;其次,提出了一种基于AOA和TOA二维聚类信息的直射路径识别算法;另外,还提出了可视环境(Line Of Sight,LOS)以及非可视环境(Non Line Of Sight,NLOS)的识别算法,可以准确的判断出当前接收机相对发射机是处于LOS还是NLOS环境;最后,利用现有的三天线Wi-Fi设备在室内进行了测角以及定位测试,实验结果表明本文提出的定位系统在室内LOS和NLOS环境下分别可以达到中值误差为0.8m,1.3m的定位精度,可用于室内高精度定位.

Accurate estimation of the angle of arrival（ AOA） of the signal provides the possibility of high precision indoor positioning,in order to achieve the accurate AOA and extract the AOA information of the direct path to locate the target,this paper presents a sub-meter indoor localization system that uses the channel frequency response（ CFR） to expand the array antenna. Firstly,this paper collects the CFR information to estimate the AOA and time of arrival（ TOA） of Wi-Fi signal.Secondly,this paper presents a direct path identification algorithm based on the two-dimensional clustering information of AOA and TOA. In addition,this paper proposes a line of sight（ LOS） environment and non line of sight（ NLOS） environment recognition algorithm to distinguish whether the current receiver is in the LOS or NLOS environment relative the transmitter. Finally,this paper uses the existing Wi-Fi devices with three antennas to measure the angle and positioning in the indoor room. The experimental results show that the proposed positioning system can achieve a median error of 0. 8 m and1. 3 m respectively in the LOS and NLOS environment,and can be used for high precision indoor positioning.