An Indoor Positioning Method with MEMS Inertial Sensors

A new method is put forward to realize pedestrian’s localization by inertial sensor in indoor environment, the positioning method is through pedestrian’s motion information which is collected by an IMU system to achieve pedestrian’s positioning. The pedestrian’s gait is getting by fusion of acceleration data and gyro data, it is improved the traditional method which discriminate pedestrian’s gait by single axis acceleration. A new method is proposed for estimating the pedestrian’s walking step length by acceleration data, it is improved the estimation of the dynamic step length precision. By linear fitting algorithm to correct the yaw angle information, it would calculate more accurate yaw angle information. Using the step number, step length and yaw angle by fusion algorithm reproduce a pedestrian’s route. The experimental results show that the positioning method of current positioning precision for each 1200 m error is in 10 m. Positioning error is about 8.33 %, it has high value of engineering application. Copyright © 2013 IFSA.