Precise Indoor Localization Platform Based on WiFi- GeoMagnetic Fingerprinting and Aided IMU
نویسندگان
چکیده
The proposed system exploits Wi-Fi and GeoMagnetic fingerprintings aided by Inertial Measurement Unit (IMU). Basically, the system only consists of the off-the-self Wi-Fi Access Points (APs) and low-cost IMU, while no extra equipment is required. Since the accuracy of Wi-Fi fingerprinting heavily depends on the number of APs deployments, spatial differentiability, and the fluctuation of Received Signal Strength Indictor (RSSI) caused by multipath, the performance of Wi-Fi fingerprinting based indoor localization system frequently varies with the changes of the time and locations. To overcome this shortage, the proposed system takes advantage of the stable geomagnetic fingerprinting to compensate for the weakness of Wi-Fi fingerprint based indoor localization algorithm. Besides that, this work utilizes the stateof-the-art orientation prediction and step detection of IMU module, and adopts a Kalman filter framework to fuse both WiFi and geomagnetic fingerprintings, and inertial data to improve the precision of indoor localization. Keywords—Wi-Fi Fingerprinting; GeoMagnetic Fingerprinting; IMU; Kalman Filter Framework
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