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.