Localization Algorithm Mixing Kalman and Particle Filters for Moving Object in Indoor Wi-Fi Environment

摘要

In the Wi-Fi environment according to the present invention, the method for tracking the position of a moving object using a Kalman filter and a particle filter in a computer system using a Wi-Fi environment uses a Kalman filter and a particle filter in accordance with the characteristics of the moving pattern of the moving object. A moving object location tracking method comprising: collecting an RSSI signal value from an AP of a Wi-Fi (S100); Measuring the angular velocity when the moving object is moving along an arbitrary path (S200); When the moving object is moving along an arbitrary movement path, determining a straight line or a curved section by comparing with a preset threshold (S300) and analyzing a pattern for a moving direction of the moving object and applying a filter suitable for this. It is characterized by including (S400).