An efficient method for evaluating the performance of integrated multiple pedestrian navigation systems

摘要: This paper introduces a new sensor fusion approach for using multiple MEMS sensor-based pedestrian navigation systems (PNSs) to enhance the performance of each individual system. First, we propose novel single IMU-based PNS which integrates both inertial system (INS) mechanization and dead reckoning (PDR) mechanization. When two identical PNSs are used by user at same time, output is then shared within Kalman filter (KF) with state-constrained approach, which, in turn, feeds state error correction information back PNS. Several real experiments done assess proposed methodology integration PNSs. The experimental studies clearly indicate that through applying motion data from mobile/wearable devices could provide more accurate all indoor outdoor environments.