Multiple sensors integration for pedestrian indoor navigation

This paper discusses the fusion schemes of multiple sensors including accelerometer, gyro, magnetometer and pressure sensor for improved indoor positioning accuracy. The main focus is to make fully use of complementary features in sensors (such as gyro and magnetometer) and navigation structure (such as PDR and strapdown INS). A centralized Kalman filter is designed and implemented for this integration. Tests are conducted at indoor without using external wireless signal aiding. Positioning performance is evaluated among different integration strategies by different sensors and different complementary features.