Design of Indoor Pedestrian Navigation System based on MEMS

This paper presents an indoor pedestrian navigation system based on MEMS inertial sensor. The system is implemented by PDR, The course estimation is based on the data fusion between gyro and electronic compass; Step size estimation is based on particle swarm optimization of the Fourier neural network step size estimation algorithm, and complete the step dynamic estimation; Pedometer adopts the step state machine based on zero rate detection error elimination to realize accurate recording . Finally , the indoor test is carried out on the rectangular route . The experimental results show that the navigation error is less than 5% of the total walking distance, which verifies the applicability and accuracy of the navigation algorithm and satisfies the pedestrian navigation requirements .