基于CFR的角度/距离联合单站定位

单站定位在室内定位中起着至关重要的作用。大多数室内定位算法都是联合多个Wi-Fi接入点（AP）进行定位，在只有w单个AP时定位精度很低甚至无法定位。针对室内环境中普遍存在的单AP定位情况，该文首先利用现有的三天线商用Wi-Fi网卡采集无线信道频率响应信息（CFR）进行信号到达角（AOA）估计。其次利用CFR幅值信息通过信号传播模型进行距离估计。提出了一种基于AOA和信号到达时间（TOA）二维聚类信息的直射路径识别算法。最后，利用现有的三天线Wi-Fi设备在室内进行了测角、测距以及定位测试，实验结果表明该文提出的单站定位系统在室内环境下中值误差可以达到1.3 m的定位精度，满足室内定位的需求。

Joint Angle/Distance Localization with Single Station Based on CFR

Single station localization plays an important role in indoor localization. Most of the indoor localization algorithms are combined with multiple Wi-Fi access points (APs) to locate, the localization accuracy is low or even unable to locate when there is only a single AP. In terms of the ubiquitous single AP localization situation, the channel frequency response (CFR) of the commercial three-antenna Wi-Fi network card is used to estimate the angle of arrival (AOA). The CFR amplitude information is applied to estimate the distance from the signal propagation model. Further, we presents a direct path identification algorithm based on the two-dimensional clustering information of AOA and time of arrival (TOA) and use the existing Wi-Fi device with three antennas to measure the angle, distance and localization in the indoor room. The experimental results show that the proposed localization system can achieve a median error of 1.3 m, and can meet the needs of indoor positioning.