Inertial Sensor Based Localization Using Wi-Fi In Complex Indoor Environment

摘要

The recent years has seen a lot of research in indoor Iocalization and location services. Wireless location finding is one of the key technologies for wireless sensor networks. The GPS technology used for outdoor Iocalization, but when to deal with indoor Iocalization GPS solution is inadequate. Indoor locations include buildings like supermarkets, big malls, parking, universities and locations under the same roof. Though indoor location services based on received signal strength indication (RSSI), fingerprinting, angle of arrival (AoA) and time of flight (ToF) based techniques attracted more attention from Researcher, there is very less work has been done in achieving accuracy, removing NLOS errors and providing indoor navigation system. The proposed system which works on improving positioning accuracy of Iocalization and increasing speed of positioning with NLOS Error and TOF Ranging Error Mitigation using Wi-Fi RSSI based Fingerprinting and use of inertial sensors of smartphone like Accelerometer, magnetometer and Gyroscope. Furthermore an advanced particle filter is used to mitigate ranging error and NLOS Error.