A novel study of the pedestrian integrated navigation monitoring system

An integrated system with multi-sensor is designed for pedestrian navigation. Magneto-resistive sensor is used to measure the heading angle for determining the track. Acceleration sensor is used to calculate walking distance by double integral via a threshold step detection algorithm. The new coordinate can be obtained by integrating the heading angle and the walking distance. Federal Kalman algorithm is used in the processing of solving location and orientation, which can combine with GPS to complete the design of pedestrian navigation monitoring system. Generalized extended approximation (GEA) is put forward to use in the processing of multi-sensor integration, which can reduce error brought by the sample data at different time between magneto-resistive sensor and acceleration sensor. The track of pedestrian integrated navigation monitoring system will be clearly determined with stability and reliability. © 2013 IFSA.