A New High Precise Indoor Localization Approach Using Single Access Point

This paper presents a new indoor localization approach by employing just single access point to get an accurate location of users terminal. To achieve this goal, we first collect the Channel State Information (CSI) by using a commodity Wi-Fi device that supports the 802.11n protocol. Second, we propose a new algorithm to eliminate linear errors in CSI and make the phase of CSI closer to the real phase information in transmission data. Third, we improve the traditional Multiple Signal Classification (MUSIC) algorithm to make it more suitable for indoor localization environment and more accurately distinguish the Angle-of-Arrival (AOA) and Time-of-Arrival (TOA). Finally, we calculate the location of a user based on the transmission time and incoming direction. We deploy a test system in an actual environment, the results show that our approach can achieve the positioning average error less than 1m.