Avoiding Multipath to Revive Inbuilding WiFi Localization

Despite of several years of innovative research, indoor localiza-tion is still not mainstream. Existing techniques either employ cumbersome fingerprinting, or rely upon the deployment of ad-ditional infrastructure. Towards a solution that is easier to adopt, we propose CU PI D, which is free from these restrictions, yet is comparable in accuracy. While existing WiFi based solutions are highly susceptible to indoor multipath, CUPID utilizes physical layer (PHY) information to extract the signal strength and the angle of only the direct path, successfully avoiding the effect of multipath reflections. Our main observation is that natural hu-man mobility, when combined with PHY layer information, can help in accurately estimating the angle and distance of a mobile device from an wireless access point (AP). Real-world indoor ex-periments using off-the-shelf wireless chipsets confirm the fea-sibility of CUPID. In addition, while previous approaches rely on multiple APs, CUPID is able to localize a device when only a sin-gle AP is present. When a few more APs are available, CUPID can improve the median localization error to 2.7m, which is compa-rable to schemes that rely on expensive fingerprinting or addi-tional infrastructure