Robust Smartphone-based Indoor Positioning Under Practical Usage Environments

Indoor localization utilizing smartphones is becoming increasingly attractive due to their prevalence and the abundance of sensors the devices provide. However, smartphone-based positioning often utilizes wireless technologies collecting Received Signal Strength Indicator (RSSI) values, which are sensitive to interference and multipath effects. There have been several proposals that make use of sensor fusion to mitigate error, but they do not sufficiently address the applicability of the implementations in consumer smartphones. This paper presents an approach that adheres to the practical constraints commonly found in real-life scenarios. Experiments under both office and industrial environments show that the system can minimize positioning error and mitigate the jumping phenomenon prevalent in RSSI-based positioning systems.