Research for pedestrian navigation positioning method based on MEMS sensors

With the development of MEMS sensors, pedestrian navigation has been a popular research. The paper realizes step detection and estimation for step length by only vertical accelerometer. It determines initial heading using accelerometers and magnetometers and calculates latter heading using gyroscopes by strap-down inertial navigation algorithm. Afterwards, it achieves the positioning goal for pedestrian using dead reckoning method. Definitively, the effectiveness of this approach is demonstrated through two different field trials and the results indicate that the positioning method for pedestrian proposed is efficient and has a small positioning error.